Triple

T19493399
Position Surface form Disambiguated ID Type / Status
Subject U of F E487708 entity
Predicate nickname P55 FINISHED
Object UF 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: UF | Statement: [U of F, nickname, UF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UF
Context triple: [U of F, nickname, UF]
  • A. UF chosen
    UF is a major public research university located in Gainesville, Florida, known for its strong academic programs and prominent athletic teams, the Florida Gators.
  • B. UFU
    UFU is the Italian-language abbreviation for Switzerland’s Federal Office for Gender Equality, the national authority responsible for promoting equal rights and opportunities for all genders.
  • C. UA
    UA is a common abbreviation for the University of Arkansas, a public research university known for its flagship campus in Fayetteville.
  • D. UA
    UA is the commonly used abbreviation for the University of Angers, a French public university located in Angers.
  • E. UA
    UA is the stock ticker symbol for Under Armour, Inc., an American sportswear and athletic apparel company.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6349002788190afe7831d008d440f completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:39 p.m.