Triple

T17526259
Position Surface form Disambiguated ID Type / Status
Subject Molenaarsgraaf E426802 entity
Predicate locatedIn P40 FINISHED
Object Alblasserwaard 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: Alblasserwaard | Statement: [Molenaarsgraaf, locatedIn, Alblasserwaard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alblasserwaard
Context triple: [Molenaarsgraaf, locatedIn, Alblasserwaard]
  • A. Krimpenerwaard
    Krimpenerwaard is a rural municipality in the Dutch province of South Holland, known for its polder landscapes, dikes, and traditional villages between the rivers Lek and Hollandse IJssel.
  • B. Ooijpolder
    Ooijpolder is a Dutch riverine polder and nature area near Nijmegen, known for its scenic floodplains, wetlands, and rich birdlife along the Waal River.
  • C. ’s-Gravenpolder
    ’s-Gravenpolder is a village in the Dutch province of Zeeland, located within the municipality of Borsele.
  • D. Beemster
    Beemster is a historic Dutch polder and UNESCO World Heritage Site in North Holland, renowned for its meticulously planned reclaimed landscape and geometric layout.
  • E. Alblasserwaard region chosen
    The Alblasserwaard region is a low-lying polder area in the Dutch province of South Holland, known for its historic windmills, waterways, and traditional rural landscape.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d6a2548190acf26f2d5d4aab66 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.