Triple

T5866264
Position Surface form Disambiguated ID Type / Status
Subject Mark Few E130400 entity
Predicate basedIn P40 FINISHED
Object Gonzaga University E118292 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: Gonzaga University | Statement: [Mark Few, basedIn, Gonzaga University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gonzaga University
Context triple: [Mark Few, basedIn, Gonzaga University]
  • A. Gonzaga University chosen
    Gonzaga University is a private Catholic university in Spokane, Washington, known for its strong liberal arts education and prominent NCAA Division I basketball program.
  • B. Gonzaga
    Gonzaga was a powerful Italian noble dynasty that ruled Mantua and other territories in northern Italy during the Renaissance and early modern period.
  • C. Carroll College
    Carroll College is a private Catholic liberal arts college located in Helena, Montana, known for its strong undergraduate programs and close-knit campus community.
  • D. Boise State University
    Boise State University is a public research university best known for its blue turf football field and comprehensive academic programs in Idaho’s capital city.
  • E. Creighton University
    Creighton University is a private Jesuit university known for its strong programs in health sciences, business, and law.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035c10648819098c638cdc2084c80 completed March 22, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b10fe5908190977d1802258f9f13 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:56 p.m.