Triple

T7742657
Position Surface form Disambiguated ID Type / Status
Subject Paul Kiparsky E175546 entity
Predicate workInstitution P1203 FINISHED
Object Stanford University Department of Linguistics E349248 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: Stanford University Department of Linguistics | Statement: [Paul Kiparsky, workInstitution, Stanford University Department of Linguistics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stanford University Department of Linguistics
Context triple: [Paul Kiparsky, workInstitution, Stanford University Department of Linguistics]
  • A. Stanford University Department of Linguistics chosen
    The Stanford University Department of Linguistics is a leading academic department renowned for its research and teaching across theoretical, computational, and sociolinguistics.
  • B. 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.
  • C. 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.
  • D. Center for the Study of Language and Information
    The Center for the Study of Language and Information is a Stanford University-based interdisciplinary research center and academic publisher focused on linguistics, logic, cognitive science, and computational approaches to language and information.
  • E. Department of Linguistics
    The Department of Linguistics at the University of Zadar is an academic unit dedicated to the scientific study of language, offering teaching and research in areas such as theoretical, applied, and descriptive linguistics.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70387807081909546bc7c209955ef completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be48d61c8190aba1e5f23d7cb1be completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:07 p.m.