Triple
T9841114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GRASP Laboratory |
E239226
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object | Department of Computer and Information Science, University of Pennsylvania |
E499685
|
NE FINISHED |
How this triple was built (2 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 Computer and Information Science, University of Pennsylvania | Statement: [GRASP Laboratory, parentOrganization, Department of Computer and Information Science, University of Pennsylvania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Computer and Information Science, University of Pennsylvania Context triple: [GRASP Laboratory, parentOrganization, Department of Computer and Information Science, University of Pennsylvania]
-
A.
Computer and Information Science Department, University of Pennsylvania
chosen
The Computer and Information Science Department at the University of Pennsylvania is a leading academic unit known for its research and education in computer science, artificial intelligence, and related fields within the School of Engineering and Applied Science.
-
B.
Computer Science Department, Carnegie Mellon University
The Computer Science Department at Carnegie Mellon University is a core academic unit renowned for pioneering research and education in computer science within CMU’s School of Computer Science.
-
C.
Department of Computer Science, Rutgers University
The Department of Computer Science at Rutgers University is a major academic unit known for its research and education in areas such as algorithms, artificial intelligence, systems, and data science.
-
D.
Department of Computer Science, Yale University
The Department of Computer Science at Yale University is a leading academic and research department known for its contributions to theoretical computer science, systems, and interdisciplinary computing.
-
E.
Department of Computer Science, Columbia University
The Department of Computer Science at Columbia University is a leading academic and research institution known for its contributions to theoretical computer science, systems, artificial intelligence, and interdisciplinary computing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34c920c81909b56ed9936b15f9b |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5d5484c8190a78ccd0e9816ba51 |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:33 p.m.