Triple

T20729809
Position Surface form Disambiguated ID Type / Status
Subject WOL E509541 entity
Predicate appliesTo P1129 FINISHED
Object town of 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: town of Wolfach | Statement: [WOL, appliesTo, town of Wolfach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Wolfach
Context triple: [WOL, appliesTo, town of 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. Town of Wadern
    The Town of Wadern is a small municipality in the Saarland region of western Germany, known for its rural character and surrounding natural landscapes.
  • C. Wohltorf
    Wohltorf is a small municipality in northern Germany’s Schleswig-Holstein state, situated near Hamburg and known for its residential character and surrounding natural landscapes.
  • D. Wülfershausen an der Saale
    Wülfershausen an der Saale is a small municipality in northern Bavaria, Germany, situated along the Saale River.
  • E. Hückeswagen
    Hückeswagen is a small historic town in western Germany’s North Rhine-Westphalia, known for its medieval castle and location in the hilly Bergisches Land region.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1ec9820819093a07f90503686b2 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:30 p.m.