Triple
T2058337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT Building 20 |
E45728
|
entity |
| Predicate | hostedOrganization |
P2777
|
FINISHED |
| Object |
MIT Linguistics Section
The MIT Linguistics Section is the linguistics program at the Massachusetts Institute of Technology, renowned for its influential theoretical research and for training many leading figures in modern linguistics.
|
E228287
|
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: MIT Linguistics Section | Statement: [MIT Building 20, hostedOrganization, MIT Linguistics Section]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MIT Linguistics Section Context triple: [MIT Building 20, hostedOrganization, MIT Linguistics Section]
-
A.
University of Pennsylvania Department of Linguistics
The University of Pennsylvania Department of Linguistics is a leading academic center for theoretical and empirical linguistics research and education, known for its influential contributions to syntax, phonology, sociolinguistics, and computational linguistics.
-
B.
Department of Theoretical and Applied Linguistics, University of Cambridge
The Department of Theoretical and Applied Linguistics at the University of Cambridge is a leading academic centre for research and teaching in linguistics, covering areas such as syntax, phonology, semantics, psycholinguistics, and language acquisition.
-
C.
Department of Linguistics
The Department of Linguistics is an academic unit at the University of Chile dedicated to the scientific study of language, including its structure, use, and development.
-
D.
Language Technologies Institute, Carnegie Mellon University
The Language Technologies Institute at Carnegie Mellon University is a leading research and education center focused on areas such as natural language processing, machine learning for language, speech recognition, and related AI-driven language technologies.
-
E.
Max Planck Institute for Psycholinguistics
The Max Planck Institute for Psycholinguistics is a leading research institute in Nijmegen, Netherlands, dedicated to the scientific study of how language is produced, understood, and learned.
- 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: MIT Linguistics Section Triple: [MIT Building 20, hostedOrganization, MIT Linguistics Section]
Generated description
The MIT Linguistics Section is the linguistics program at the Massachusetts Institute of Technology, renowned for its influential theoretical research and for training many leading figures in modern linguistics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MIT Linguistics Section Target entity description: The MIT Linguistics Section is the linguistics program at the Massachusetts Institute of Technology, renowned for its influential theoretical research and for training many leading figures in modern linguistics.
-
A.
University of Pennsylvania Department of Linguistics
The University of Pennsylvania Department of Linguistics is a leading academic center for theoretical and empirical linguistics research and education, known for its influential contributions to syntax, phonology, sociolinguistics, and computational linguistics.
-
B.
Department of Theoretical and Applied Linguistics, University of Cambridge
The Department of Theoretical and Applied Linguistics at the University of Cambridge is a leading academic centre for research and teaching in linguistics, covering areas such as syntax, phonology, semantics, psycholinguistics, and language acquisition.
-
C.
Department of Linguistics
The Department of Linguistics is an academic unit at the University of Chile dedicated to the scientific study of language, including its structure, use, and development.
-
D.
Language Technologies Institute, Carnegie Mellon University
The Language Technologies Institute at Carnegie Mellon University is a leading research and education center focused on areas such as natural language processing, machine learning for language, speech recognition, and related AI-driven language technologies.
-
E.
Max Planck Institute for Psycholinguistics
The Max Planck Institute for Psycholinguistics is a leading research institute in Nijmegen, Netherlands, dedicated to the scientific study of how language is produced, understood, and learned.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbdbfe6188190a32ab023660312bd |
completed | March 7, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2014da048190902b2a23574d34ef |
completed | March 9, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69ae20dff3c48190943a913c63247537 |
completed | March 9, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae21465d048190a1ee3a52c96ee37d |
completed | March 9, 2026, 1:24 a.m. |
Created at: March 4, 2026, 7:40 p.m.