Triple

T18641080
Position Surface form Disambiguated ID Type / Status
Subject Mace and Chain E455685 entity
Predicate associatedWith P37 FINISHED
Object Yale College NE NERFINISHED

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: Yale College | Statement: [Mace and Chain, associatedWith, Yale College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yale College
Context triple: [Mace and Chain, associatedWith, Yale College]
  • A. Yale College chosen
    Yale College is the undergraduate liberal arts college of Yale University, offering a broad curriculum within a residential college system.
  • B. Yale University
    Yale University is an Ivy League research university in New Haven, Connecticut, renowned for its prestigious academic programs, historic campus, and influential alumni.
  • C. Yale
    Yale is a widely used romanization system for Cantonese Chinese that represents Cantonese sounds with the Latin alphabet.
  • D. Yale
    Yale is a historic town in British Columbia, Canada, that served as a key hub during the Cariboo Gold Rush and the construction of the Canadian Pacific Railway.
  • E. Yale
    Yale is a small unincorporated community located in Kansas, United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fccafec8190a340356d5bbd3cdf completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:47 a.m.