Triple

T8463305
Position Surface form Disambiguated ID Type / Status
Subject SC Dnipro-1 E200096 entity
Predicate fullName P16 FINISHED
Object Sports Club Dnipro-1 E200096 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: Sports Club Dnipro-1 | Statement: [SC Dnipro-1, fullName, Sports Club Dnipro-1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sports Club Dnipro-1
Context triple: [SC Dnipro-1, fullName, Sports Club Dnipro-1]
  • A. SC Dnipro-1 chosen
    SC Dnipro-1 is a Ukrainian professional football club based in Dnipro that competes in the country’s top league.
  • B. BC Dnipro
    BC Dnipro is a professional basketball club based in Dnipro, Ukraine, competing in the country’s top basketball league.
  • C. HC Dynamo Kharkiv
    HC Dynamo Kharkiv is a professional ice hockey club based in Kharkiv, Ukraine.
  • D. FC Dynamo Kyiv
    FC Dynamo Kyiv is a historically successful Ukrainian professional football club renowned for its domestic dominance and strong performances in European competitions.
  • E. FC Metalist Kharkiv
    FC Metalist Kharkiv is a Ukrainian professional football club based in Kharkiv that has traditionally competed in the country’s top leagues and European competitions.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4a39bd48190b72be7e03cff323b completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39d5f50081908e273d5286a0d397 completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:10 p.m.