Triple

T23135209
Position Surface form Disambiguated ID Type / Status
Subject Treuchtlingen E577295 entity
Predicate hasSubdivision P747 FINISHED
Object Wettelsheim 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: Wettelsheim | Statement: [Treuchtlingen, hasSubdivision, Wettelsheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wettelsheim
Context triple: [Treuchtlingen, hasSubdivision, Wettelsheim]
  • A. Wettelsheim chosen
    Wettelsheim is a small municipality in Bavaria, Germany, known for its rural character within the Weißenburg-Gunzenhausen region.
  • B. Wollmesheim
    Wollmesheim is a village and wine-growing district that forms part of the town of Landau in der Pfalz in the Rhineland-Palatinate region of Germany.
  • C. Freiolsheim
    Freiolsheim is a village and district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
  • D. Bollwiller
    Bollwiller is a commune in the Haut-Rhin department of the Grand Est region in northeastern France.
  • E. Leutesheim
    Leutesheim is a village and district of the town of Kehl in the Ortenaukreis region of Baden-Württemberg, Germany, near the Rhine River and the French border.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8b694c8190b9ead00ea0576d90 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.