Triple

T21784676
Position Surface form Disambiguated ID Type / Status
Subject Lanaken E537803 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Zutendaal NE NERFINISHED

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: Zutendaal | Statement: [Lanaken, hasNeighbouringMunicipality, Zutendaal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zutendaal
Context triple: [Lanaken, hasNeighbouringMunicipality, Zutendaal]
  • A. Zutendaal chosen
    Zutendaal is a small municipality in the Belgian province of Limburg, known for its forests, nature reserves, and role as a gateway to the Hoge Kempen National Park.
  • B. Saasveld
    Saasveld is a small village in the Dutch province of Overijssel, known for its rural character and historic church.
  • C. Langbroek
    Langbroek is a village in the Dutch province of Utrecht, known for its historic estates and rural character within the municipality of Wijk bij Duurstede.
  • D. Blauwestad
    Blauwestad is a modern lakeside residential and recreational area in the Dutch province of Groningen, developed around the artificial lake Oldambtmeer.
  • E. Dishoek
    Dishoek is a coastal village in the Dutch province of Zeeland, known for its sandy North Sea beaches and seaside tourism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04630f4f08190910b9e499a4249ca completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.