Triple

T5170035
Position Surface form Disambiguated ID Type / Status
Subject University of Pennsylvania Department of Linguistics E116653 entity
Predicate hosts P186 FINISHED
Object Penn Linguistics Conference E499684 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: Penn Linguistics Conference | Statement: [University of Pennsylvania Department of Linguistics, hosts, Penn Linguistics Conference]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Penn Linguistics Conference
Context triple: [University of Pennsylvania Department of Linguistics, hosts, Penn Linguistics Conference]
  • A. Penn Linguistics Colloquium chosen
    The Penn Linguistics Colloquium is an annual academic conference that brings together researchers to present and discuss work in theoretical and experimental linguistics.
  • 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. CSLI Publications
    CSLI Publications is an academic publishing house associated with Stanford University's Center for the Study of Language and Information, specializing in linguistics, cognitive science, philosophy, and related fields.
  • D. 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.
  • E. 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.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd794f44248190a3a90c92208104a7 completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee077effc8190bdd5771db64d1578 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:45 p.m.