Triple

T13715191
Position Surface form Disambiguated ID Type / Status
Subject Buren E328878 entity
Predicate locatedIn P40 FINISHED
Object Betuwe E236999 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: Betuwe | Statement: [Buren, locatedIn, Betuwe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betuwe
Context triple: [Buren, locatedIn, Betuwe]
  • A. Betuwe chosen
    Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
  • B. Nissewaard
    Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
  • C. Overbetuwe
    Overbetuwe is a municipality in the Dutch province of Gelderland, located in the Betuwe region and known for its rural landscape and fruit cultivation.
  • D. Wieringen
    Wieringen is a former island and historical region in the Dutch province of North Holland, known for its coastal landscape and role in major water management projects like the Afsluitdijk.
  • E. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43973cf08190a417d0cca9dd314a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6fcddf08190bee3dce22be39a34 completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 9:54 p.m.