Triple

T10136876
Position Surface form Disambiguated ID Type / Status
Subject Odenwaldschule E226880 entity
Predicate locatedIn P40 FINISHED
Object Heppenheim E562372 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: Heppenheim | Statement: [Odenwaldschule, locatedIn, Heppenheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heppenheim
Context triple: [Odenwaldschule, locatedIn, Heppenheim]
  • A. Heppenheim chosen
    Heppenheim is a historic town in southwestern Germany, known for its picturesque old town, vineyards, and location on the Bergstraße at the edge of the Odenwald.
  • B. Wehrheim
    Wehrheim is a small municipality in the Hochtaunus district of Hesse, Germany, known for its rural character and proximity to the Taunus mountain range.
  • C. Weinheim
    Weinheim is a historic town in southwestern Germany, known for its picturesque old town, twin castles, and location on the Bergstraße at the edge of the Odenwald.
  • D. Bruchsal
    Bruchsal is a town in the state of Baden-Württemberg in southwestern Germany, known for its baroque palace and asparagus cultivation.
  • E. Kaiserslautern
    Kaiserslautern is a city in southwestern Germany known for its historic old town, technical university, and prominent football club 1. FC Kaiserslautern.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde881a2188190a5e519b90a1b910b completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69e50983ce848190ab375145019ff69b completed April 19, 2026, 4:57 p.m.
Created at: March 30, 2026, 9:06 p.m.