Triple

T23457469
Position Surface form Disambiguated ID Type / Status
Subject municipality of Haaren E567968 entity
Predicate hadPart P35 FINISHED
Object Haaren 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: Haaren | Statement: [municipality of Haaren, hadPart, Haaren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haaren
Context triple: [municipality of Haaren, hadPart, Haaren]
  • A. Haaren chosen
    Haaren is a village and former municipality in the Dutch province of North Brabant.
  • B. Haarsteeg
    Haarsteeg is a village in the Dutch province of North Brabant, located within the municipality of Heusden.
  • C. Haacht
    Haacht is a municipality in the Flemish Brabant province of Belgium, known for its local brewery and semi-rural character near the city of Leuven.
  • D. Hassela
    Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
  • E. Hasselager
    Hasselager is a residential neighborhood in the southern part of Aarhus, Denmark.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a69904588190b44c84021e94ae63 completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:53 p.m.