Triple

T20857711
Position Surface form Disambiguated ID Type / Status
Subject Heeze-Leende E513523 entity
Predicate containsSettlement P847 FINISHED
Object Sterksel 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: Sterksel | Statement: [Heeze-Leende, containsSettlement, Sterksel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sterksel
Context triple: [Heeze-Leende, containsSettlement, Sterksel]
  • A. Sterksel chosen
    Sterksel is a small village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Heeze-Leende.
  • B. Struycken
    Struycken is a Dutch surname most notably borne by actor Carel Struycken, known for his distinctive tall stature and roles in film and television.
  • C. Scherpenzeel
    Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
  • D. Steenbergen
    Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
  • E. Steenbergen
    Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
  • 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.