Triple

T14186612
Position Surface form Disambiguated ID Type / Status
Subject Hoeksche Waard E351593 entity
Predicate hasPart P35 FINISHED
Object Oud-Beijerland (town) E90858 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: Oud-Beijerland (town) | Statement: [Hoeksche Waard, hasPart, Oud-Beijerland (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oud-Beijerland (town)
Context triple: [Hoeksche Waard, hasPart, Oud-Beijerland (town)]
  • A. Oud-Beijerland chosen
    Oud-Beijerland is a town in the western Netherlands known as one of the main population centers in the Hoeksche Waard region.
  • B. Oudelande
    Oudelande is a small village in the Dutch province of Zeeland, known for its rural character and traditional polder landscape.
  • C. Oldekerk
    Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
  • D. Beersel
    Beersel is a municipality in the Flemish Brabant province of Belgium, known for its historic Beersel Castle and traditional lambic and gueuze breweries.
  • E. Groesbeek municipality
    Groesbeek municipality was a former local government area in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and eventual incorporation into the municipality of Berg en Dal.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cd5778819092a03597bcdcc182 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19433dc08190b4d2f1aef1b2d67d completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:03 a.m.