Triple

T20669704
Position Surface form Disambiguated ID Type / Status
Subject Werner Lorant E507986 entity
Predicate employer P7 FINISHED
Object FC Hallein 08 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 Hallein 08 | Statement: [Werner Lorant, employer, FC Hallein 08]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Hallein 08
Context triple: [Werner Lorant, employer, FC Hallein 08]
  • A. FC Hallein chosen
    FC Hallein is an Austrian football club known in part for having been coached by Werner Lorant early in his managerial career.
  • B. FC Blau-Weiß Linz
    FC Blau-Weiß Linz is a professional football club from Linz, Austria, competing in the country’s top-tier league system.
  • C. FC Bad Ischl
    FC Bad Ischl is an Austrian football club based in the spa town of Bad Ischl, known for competing in the lower tiers of the national league system.
  • D. FC Kufstein
    FC Kufstein is an Austrian football club based in the town of Kufstein, competing in the regional tiers of the national league system.
  • E. Wolfsberger AC
    Wolfsberger AC is a professional football club from Wolfsberg, Austria, known for competing in the country’s top-tier league and periodically qualifying for European 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c735048190a01cb7692928d66e completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.