Triple

T19506083
Position Surface form Disambiguated ID Type / Status
Subject FC Argeș Pitești E488023 entity
Predicate shortName P43 FINISHED
Object FC Argeș 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: FC Argeș | Statement: [FC Argeș Pitești, shortName, FC Argeș]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Argeș
Context triple: [FC Argeș Pitești, shortName, FC Argeș]
  • A. FC Argeș Pitești chosen
    FC Argeș Pitești is a Romanian professional football club based in Pitești, historically known for competing in the country’s top division and for producing legendary players such as Nicolae Dobrin.
  • B. FC Vaslui
    FC Vaslui was a Romanian professional football club from the city of Vaslui that competed in Liga I and became known for its rapid rise and strong performances in the late 2000s and early 2010s.
  • C. FC Bihor Oradea
    FC Bihor Oradea is a Romanian professional football club based in Oradea, known for competing in the national league system and developing notable Romanian players.
  • D. FC Baia Mare
    FC Baia Mare is a Romanian football club known for its regional prominence and history of developing local talent.
  • E. CSM Bacău
    CSM Bacău is a Romanian multi-sport club based in the city of Bacău, known for competing in various national sports competitions.
  • 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_69e63511fc688190bd1474406060fa1b completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.