Triple
T8273915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Division of Science at the City College of New York |
E193492
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
Department of Chemistry at the City College of New York
The Department of Chemistry at the City College of New York is an academic unit offering undergraduate and graduate education and research opportunities in chemistry within the college’s Division of Science.
|
E722992
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Department of Chemistry at the City College of New York | Statement: [Division of Science at the City College of New York, hasComponent, Department of Chemistry at the City College of New York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Chemistry at the City College of New York Context triple: [Division of Science at the City College of New York, hasComponent, Department of Chemistry at the City College of New York]
-
A.
Columbia University Department of Chemistry
The Columbia University Department of Chemistry is a leading academic and research department in New York City known for its influential contributions to chemical science and for hosting prominent chemists such as Ronald Breslow.
-
B.
Department of Chemistry, Cornell University
The Department of Chemistry at Cornell University is a leading academic and research unit known for its contributions to chemical science and the training of prominent chemists.
-
C.
Department of Chemistry at Yale University
The Department of Chemistry at Yale University is a leading academic and research department known for its contributions to fundamental and interdisciplinary chemical science, training undergraduate and graduate students, and hosting prominent scholars in the field.
-
D.
Department of Chemistry at Northwestern University
The Department of Chemistry at Northwestern University is a leading academic and research unit known for its pioneering work in areas such as materials, catalysis, and chemical biology, and for hosting distinguished faculty positions like the George B. Rathmann Professorship.
-
E.
Department of Chemistry, Massachusetts Institute of Technology
The Department of Chemistry at the Massachusetts Institute of Technology is a leading academic and research department renowned for pioneering work across inorganic, organic, physical, and biological chemistry.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Department of Chemistry at the City College of New York Triple: [Division of Science at the City College of New York, hasComponent, Department of Chemistry at the City College of New York]
Generated description
The Department of Chemistry at the City College of New York is an academic unit offering undergraduate and graduate education and research opportunities in chemistry within the college’s Division of Science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Chemistry at the City College of New York Target entity description: The Department of Chemistry at the City College of New York is an academic unit offering undergraduate and graduate education and research opportunities in chemistry within the college’s Division of Science.
-
A.
Columbia University Department of Chemistry
The Columbia University Department of Chemistry is a leading academic and research department in New York City known for its influential contributions to chemical science and for hosting prominent chemists such as Ronald Breslow.
-
B.
Department of Chemistry, Cornell University
The Department of Chemistry at Cornell University is a leading academic and research unit known for its contributions to chemical science and the training of prominent chemists.
-
C.
Department of Chemistry at Yale University
The Department of Chemistry at Yale University is a leading academic and research department known for its contributions to fundamental and interdisciplinary chemical science, training undergraduate and graduate students, and hosting prominent scholars in the field.
-
D.
Department of Chemistry at Northwestern University
The Department of Chemistry at Northwestern University is a leading academic and research unit known for its pioneering work in areas such as materials, catalysis, and chemical biology, and for hosting distinguished faculty positions like the George B. Rathmann Professorship.
-
E.
Department of Chemistry, Massachusetts Institute of Technology
The Department of Chemistry at the Massachusetts Institute of Technology is a leading academic and research department renowned for pioneering work across inorganic, organic, physical, and biological chemistry.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798a13388190a3610766d265a61f |
completed | March 31, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68502888819084bfe4621978711d |
completed | April 1, 2026, 6:47 p.m. |
| NEDg | Description generation | batch_69cd6c21172481908dc04b85ee4370a8 |
completed | April 1, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e0d1b8c8190b5183cc176432061 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:50 p.m.