Triple

T17019948
Position Surface form Disambiguated ID Type / Status
Subject Tyus Edney E412921 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Lottomatica Roma E1154834 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: Lottomatica Roma | Statement: [Tyus Edney, memberOfSportsTeam, Lottomatica Roma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lottomatica Roma
Context triple: [Tyus Edney, memberOfSportsTeam, Lottomatica Roma]
  • A. Lottomatica Roma chosen
    Lottomatica Roma was a professional basketball club based in Rome, Italy, that competed in the country’s top league and European competitions.
  • B. PalaLottomatica
    PalaLottomatica is a major indoor sports and entertainment arena in Rome, Italy, known for hosting basketball games, concerts, and large-scale events.
  • C. Loto
    Loto is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
  • D. Lotto Park
    Lotto Park is a football stadium in Anderlecht, Brussels, best known as the historic home ground of Belgian club R.S.C. Anderlecht.
  • E. Totesport
    Totesport is a British betting and gaming company known for its involvement in horse racing and sports wagering.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d482c3a0819099e6ea4acb0a08ee completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4f9dfc819085639edb5cda1cca completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.