Triple
T8852599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Colorado system |
E210672
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
CU
CU is the commonly used abbreviation for the multi-campus University of Colorado public university system in the United States.
|
E763672
|
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: CU | Statement: [University of Colorado system, abbreviation, CU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CU Context triple: [University of Colorado system, abbreviation, CU]
-
A.
CU
CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
-
B.
CU
CU is the common abbreviation for Chulalongkorn University, a leading public research university in Bangkok, Thailand.
-
C.
CU
CU is the common abbreviation for the Christian Union, a Christian student organization found at many universities.
-
D.
CU
CU is the commonly used abbreviation for Ciudad Universitaria, a major university campus area in Spanish-speaking regions.
-
E.
UCE
UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
- 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: CU Triple: [University of Colorado system, abbreviation, CU]
Generated description
CU is the commonly used abbreviation for the multi-campus University of Colorado public university system in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CU Target entity description: CU is the commonly used abbreviation for the multi-campus University of Colorado public university system in the United States.
-
A.
CU
CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
-
B.
CU
CU is the common abbreviation for Chulalongkorn University, a leading public research university in Bangkok, Thailand.
-
C.
CU
CU is the common abbreviation for the Christian Union, a Christian student organization found at many universities.
-
D.
CU
CU is the commonly used abbreviation for Ciudad Universitaria, a major university campus area in Spanish-speaking regions.
-
E.
UCE
UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c3c5548190926e374bbe592180 |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa08c3f0081909a9aad5599f7deb2 |
completed | April 3, 2026, 11:12 a.m. |
| NEDg | Description generation | batch_69cfa45cfcd48190b2e75ed1bda7d92e |
completed | April 3, 2026, 11:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa5988f688190a35a0da37ebb41d3 |
completed | April 3, 2026, 11:33 a.m. |
Created at: March 30, 2026, 6:49 p.m.