Triple

T22615826
Position Surface form Disambiguated ID Type / Status
Subject municipality of Heusden E558142 entity
Predicate contains P35 FINISHED
Object Vlijmen 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: Vlijmen | Statement: [municipality of Heusden, contains, Vlijmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vlijmen
Context triple: [municipality of Heusden, contains, Vlijmen]
  • A. Vlijmen chosen
    Vlijmen is a town in the Dutch province of North Brabant, known historically as part of the Land van Heusden region.
  • B. Vlijtingen
    Vlijtingen is a village in the Belgian province of Limburg that forms part of the municipality of Riemst.
  • C. Geervliet
    Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
  • D. Veulen
    Veulen is a small village in the Belgian province of Limburg, forming part of the municipality of Heers.
  • E. Vilsteren
    Vilsteren is a small rural hamlet in the Dutch province of Overijssel, known for its historic estates and scenic landscape along the river Vecht.
  • 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f167edec2481909c2f06607b3cb8f6 completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:59 p.m.