Triple

T6754640
Position Surface form Disambiguated ID Type / Status
Subject Limburg (Belgium) E154423 entity
Predicate contains P35 FINISHED
Object Maasmechelen E537802 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: Maasmechelen | Statement: [Limburg (Belgium), contains, Maasmechelen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maasmechelen
Context triple: [Limburg (Belgium), contains, Maasmechelen]
  • A. Maasmechelen chosen
    Maasmechelen is a municipality in the Belgian province of Limburg, known for its proximity to the Meuse River and the popular Maasmechelen Village outlet shopping center.
  • B. Binnenmaas
    Binnenmaas was a former municipality in the Dutch province of South Holland, named after the nearby lake and comprising several villages in the Hoeksche Waard region.
  • C. 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.
  • D. Bemmelerwaard
    Bemmelerwaard is a riverine floodplain area in the Netherlands known for its natural landscapes and ecological value along the Waal.
  • E. Scherpenzeel
    Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f465388190858207ca4c48f18d completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b1e477481909e4fca040f4894f4 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:11 p.m.