Triple

T12483117
Position Surface form Disambiguated ID Type / Status
Subject FC 08 Homburg E298362 entity
Predicate hasYouthSystem P6626 FINISHED
Object FC 08 Homburg youth academy E298362 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: FC 08 Homburg youth academy | Statement: [FC 08 Homburg, hasYouthSystem, FC 08 Homburg youth academy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC 08 Homburg youth academy
Context triple: [FC 08 Homburg, hasYouthSystem, FC 08 Homburg youth academy]
  • A. FC 08 Homburg chosen
    FC 08 Homburg is a German football club known for its long-standing regional presence and for helping develop future stars such as Miroslav Klose in its youth system.
  • B. FC 96 Recklinghausen
    FC 96 Recklinghausen is a German football club based in the city of Recklinghausen.
  • C. Frankfurt U8
    Frankfurt U8 is a line of the Frankfurt U-Bahn rapid transit network in Germany.
  • D. Frankfurt U9
    Frankfurt U9 is a line of the Frankfurt U-Bahn rapid transit network in Frankfurt am Main, Germany.
  • E. FC Augsburg
    FC Augsburg is a professional German football club based in Augsburg, Bavaria, that competes in the Bundesliga.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcef6548190a6d29375bdabd17d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba5efc881909784037b95f7bbe3 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.