Triple

T13876238
Position Surface form Disambiguated ID Type / Status
Subject Antoine Hey E333589 entity
Predicate hasPlayedFor P2170 FINISHED
Object Bayer Uerdingen E219540 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: Bayer Uerdingen | Statement: [Antoine Hey, hasPlayedFor, Bayer Uerdingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayer Uerdingen
Context triple: [Antoine Hey, hasPlayedFor, Bayer Uerdingen]
  • A. Waldhof Mannheim
    Waldhof Mannheim is a German football club from Mannheim, Baden-Württemberg, known for its passionate fan base and historic regional rivalries, particularly in southwestern Germany.
  • B. FSV Mainz 05
    FSV Mainz 05 is a German professional football club based in Mainz, best known for competing in the Bundesliga.
  • C. SV Darmstadt 98
    SV Darmstadt 98 is a German professional football club based in Darmstadt, best known for competing in the country’s top two leagues and its passionate local fanbase.
  • D. KFC Uerdingen 05 chosen
    KFC Uerdingen 05 is a German football club known for its history in the Bundesliga and domestic cup competitions.
  • E. VfB Stuttgart
    VfB Stuttgart is a prominent German professional football club based in Stuttgart that competes in the Bundesliga and has a history of multiple national championships.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be556708190bbcf0b3583f677e3 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c7100b308190bdd5feaa116ee5fe completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.