Triple

T17832198
Position Surface form Disambiguated ID Type / Status
Subject Nunkirchen E445284 entity
Predicate hasSportsClub P346 FINISHED
Object TC Nunkirchen 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: TC Nunkirchen | Statement: [Nunkirchen, hasSportsClub, TC Nunkirchen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TC Nunkirchen
Context triple: [Nunkirchen, hasSportsClub, TC Nunkirchen]
  • A. Nunkirchen chosen
    Nunkirchen is a village and district of the town of Wadern in the Saarland region of western Germany.
  • B. Neunkirchen am Brand
    Neunkirchen am Brand is a market town in northern Bavaria, Germany, known for its historic center and location near the city of Erlangen.
  • C. Neukirchen
    Neukirchen is a village-level subdivision of the town of Braunfels in the state of Hesse, Germany.
  • D. Neukirchen
    Neukirchen is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
  • E. Neukirchen
    Neukirchen is a village and cadastral community that forms part of the market town of Altmünster in Upper Austria.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d257414819088730f48ad7ab9ae completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:15 a.m.