Triple

T23301425
Position Surface form Disambiguated ID Type / Status
Subject Ragnar Klavan E590313 entity
Predicate hasPlayedForClub P2170 FINISHED
Object FC Augsburg 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 Augsburg | Statement: [Ragnar Klavan, hasPlayedForClub, FC Augsburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Augsburg
Context triple: [Ragnar Klavan, hasPlayedForClub, FC Augsburg]
  • A. FC Augsburg chosen
    FC Augsburg is a professional German football club based in Augsburg, Bavaria, that competes in the Bundesliga.
  • B. KFC Uerdingen 05
    KFC Uerdingen 05 is a German football club known for its history in the Bundesliga and domestic cup competitions.
  • C. Hannover 96
    Hannover 96 is a professional German football club based in Hanover, best known for competing in the Bundesliga and having a long history dating back to the late 19th century.
  • D. Alemannia Aachen
    Alemannia Aachen is a German football club based in Aachen, known for its passionate fan base and periods of success in the Bundesliga and domestic cup competitions.
  • E. FSV Mainz 05
    FSV Mainz 05 is a German professional football club based in Mainz, best known for competing in the Bundesliga.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196d37fd08190ad2d199c54324c02 completed April 29, 2026, 5:27 a.m.
Created at: April 17, 2026, 5:04 p.m.