Triple

T20857710
Position Surface form Disambiguated ID Type / Status
Subject Heeze-Leende E513523 entity
Predicate containsSettlement P847 FINISHED
Object Leende 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: Leende | Statement: [Heeze-Leende, containsSettlement, Leende]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leende
Context triple: [Heeze-Leende, containsSettlement, Leende]
  • A. Leende chosen
    Leende is a village in the Dutch province of North Brabant, historically part of the baronial estate of Heeze, Leende and Zesgehuchten.
  • B. Dellån
    Dellån is a river in the Swedish province of Hälsingland, known for flowing through forested landscapes and contributing to the region’s natural and cultural character.
  • C. Lendringsen
    Lendringsen is a suburban district of the town of Menden in North Rhine-Westphalia, Germany, characterized by its residential areas and local amenities.
  • D. Lendelede
    Lendelede is a municipality in the Belgian province of West Flanders, known for its rural character and location near the city of Kortrijk.
  • E. The Debt
    The Debt is a film associated with John Madden, best known as a director of character-driven dramas and thrillers.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a9fd7881908ae4c5c63f64efc0 completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 12:44 p.m.