Triple

T19680388
Position Surface form Disambiguated ID Type / Status
Subject Halluin E472567 entity
Predicate hasTwinTown P919 FINISHED
Object Oer-Erkenschwick 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: Oer-Erkenschwick | Statement: [Halluin, hasTwinTown, Oer-Erkenschwick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oer-Erkenschwick
Context triple: [Halluin, hasTwinTown, Oer-Erkenschwick]
  • A. Oer-Erkenschwick chosen
    Oer-Erkenschwick is a town in western Germany’s North Rhine-Westphalia region, known for its historical roots in coal mining and its location near the Ruhr industrial area.
  • B. Herkinge
    Herkinge is a small settlement located in the Dutch province of South Holland.
  • C. Everswinkel
    Everswinkel is a small municipality in western Germany known for its rural character and location in the Münsterland region of North Rhine-Westphalia.
  • D. Onkerzele
    Onkerzele is a village in the Flemish municipality of Geraardsbergen in East Flanders, Belgium.
  • E. Ravensberg
    Ravensberg was a historical county in northwestern Germany that became part of the expanding territorial holdings of Brandenburg-Prussia.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bf97348190bc31b00ed4ec6cad completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.