Triple

T5813005
Position Surface form Disambiguated ID Type / Status
Subject Maashees E128915 entity
Predicate locatedIn P40 FINISHED
Object Land van Cuijk E113289 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: Land van Cuijk | Statement: [Maashees, locatedIn, Land van Cuijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Land van Cuijk
Context triple: [Maashees, locatedIn, Land van Cuijk]
  • A. Land van Cuijk chosen
    Land van Cuijk is a municipality in the Dutch province of North Brabant, formed in 2022 through the merger of several former municipalities in the northeastern part of the province.
  • B. Land van Rijen
    Land van Rijen is a historical region within Belgium’s Antwerp Province, known for its rural landscapes and traditional Flemish character.
  • C. De Akkers
    De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
  • D. De Kwakel
    De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
  • E. Herwijnen
    Herwijnen is a village in the Dutch province of Gelderland, known as a small rural community along the River Waal.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b56044c8190847478a342d441c2 completed March 22, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09848dd148190aeea1b1d454b8da5 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:52 p.m.