Triple

T22960042
Position Surface form Disambiguated ID Type / Status
Subject Louisville City FC E570867 entity
Predicate nickname P55 FINISHED
Object LouCity 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: LouCity | Statement: [Louisville City FC, nickname, LouCity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LouCity
Context triple: [Louisville City FC, nickname, LouCity]
  • A. LouCity chosen
    LouCity is the commonly used nickname for Louisville City FC, a professional soccer club based in Louisville, Kentucky.
  • B. LouCity FC
    LouCity FC is a professional soccer club based in Louisville, Kentucky, competing in the USL Championship, the second tier of the American soccer pyramid.
  • C. Miami FC
    Miami FC is a professional soccer club based in Miami, Florida, known for competing in various U.S. lower-division leagues and cup competitions.
  • D. Inter Miami CF
    Inter Miami CF is a professional Major League Soccer club based in the Miami metropolitan area and co-owned by former footballer David Beckham.
  • E. Doral
    Doral is a discount cigarette brand produced by R.J. Reynolds Tobacco Company, known for its value-oriented positioning in the U.S. tobacco market.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f3c96081909abd6ec32103d4c3 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.