Triple

T12209969
Position Surface form Disambiguated ID Type / Status
Subject Loevestein Castle E290931 entity
Predicate locatedInRegion P40 FINISHED
Object Bommelerwaard E164803 NE FINISHED

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: Bommelerwaard | Statement: [Loevestein Castle, locatedInRegion, Bommelerwaard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bommelerwaard
Context triple: [Loevestein Castle, locatedInRegion, Bommelerwaard]
  • A. Bemmelerwaard chosen
    Bemmelerwaard is a riverine floodplain area in the Netherlands known for its natural landscapes and ecological value along the Waal.
  • B. Zandkreek
    Zandkreek is a tidal waterway and former estuary in the Dutch province of Zeeland, known for its role in regional water management and coastal protection.
  • C. Woudwetering
    Woudwetering is a Dutch waterway in South Holland that serves as an important local canal near the village of Woubrugge.
  • D. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • E. Renswoude
    Renswoude is a small rural municipality in the Dutch province of Utrecht, known for its historic estates and agricultural landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7ed4688190b0546b784e36b0ec completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b7c615481909659aed4ae72f572 completed May 3, 2026, 12:49 a.m.
Created at: April 8, 2026, 9:51 p.m.