Triple

T1142528
Position Surface form Disambiguated ID Type / Status
Subject Golden Ball E23485 entity
Predicate rankingRelatedAwards P219 FINISHED
Object Bronze Ball E23930 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: Bronze Ball | Statement: [Golden Ball, rankingRelatedAwards, Bronze Ball]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bronze Ball
Context triple: [Golden Ball, rankingRelatedAwards, Bronze Ball]
  • A. Bronze Ball chosen
    The Bronze Ball is the FIFA Club World Cup’s third-place individual award given to one of the tournament’s best-performing players.
  • B. The Ball
    The Ball is the popular nickname for Reunion Tower, a distinctive geodesic observation tower and Dallas landmark known for its glowing spherical top.
  • C. Boule
    Boule was the citizen council of Classical Athens responsible for preparing legislation and overseeing the day-to-day administration of the city-state’s government.
  • D. Ball
    Ball is a common English surname borne by numerous individuals, including the famed American comedian and actress Lucille Ball.
  • E. Ball
    Ball is a well-known consumer brand, particularly recognized for its glass canning jars and home food preservation products.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bf0ecd448190affb5c24c3520732 completed March 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59b2395c81909d4608bdaf1d57e8 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:44 p.m.