Triple

T1234388
Position Surface form Disambiguated ID Type / Status
Subject Waal E26512 entity
Predicate flowsThrough P225 FINISHED
Object Waalwijk region E23119 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: Waalwijk region | Statement: [Waal, flowsThrough, Waalwijk region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waalwijk region
Context triple: [Waal, flowsThrough, Waalwijk region]
  • A. Zuid-Beijerland
    Zuid-Beijerland is a village in the western Netherlands, located in the province of South Holland and known for its rural character within the Hoeksche Waard region.
  • B. Midden-Delfland
    Midden-Delfland is a rural municipality in the Dutch province of South Holland known for its protected green landscapes and traditional polder scenery between the major cities of Rotterdam and The Hague.
  • C. Oud-Beijerland
    Oud-Beijerland is a town in the western Netherlands known as one of the main population centers in the Hoeksche Waard region.
  • D. Gelderland
    Gelderland is a large province in the eastern Netherlands known for its varied landscapes, including the forested Veluwe region and the river areas along the Rhine, Waal, and IJssel.
  • E. North Brabant chosen
    North Brabant is a southern province of the Netherlands known for its historic cities, Catholic cultural heritage, and role as a key battleground during World War II.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5d16ec819088056167c88d3318 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae891551c8819090f6edd70c45ff39 completed March 9, 2026, 8:47 a.m.
Created at: March 1, 2026, 7:47 p.m.