Triple

T21344872
Position Surface form Disambiguated ID Type / Status
Subject Hausach E526303 entity
Predicate locatedNear P294 FINISHED
Object Wolfach 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: Wolfach | Statement: [Hausach, locatedNear, Wolfach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolfach
Context triple: [Hausach, locatedNear, Wolfach]
  • A. Wolfach chosen
    Wolfach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its traditional glassmaking and picturesque setting along the Kinzig River.
  • B. Iffezheim
    Iffezheim is a municipality in southwestern Germany best known for its major horse racing track, one of the most important in the country.
  • C. Wuhletal
    Wuhletal is a valley landscape in Berlin shaped by the course of the Wuhle river, featuring green spaces, walking paths, and recreational areas.
  • D. Pfaffenweiler
    Pfaffenweiler is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg im Breisgau and known for its winegrowing and picturesque Black Forest surroundings.
  • E. Oppenweiler
    Oppenweiler is a small municipality in the German state of Baden-Württemberg, situated in the Rems-Murr district near the city of Stuttgart.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a853e50c81909f8854eadf053049 completed April 22, 2026, 10:52 a.m.
Created at: April 16, 2026, 4:53 p.m.