Triple

T7412655
Position Surface form Disambiguated ID Type / Status
Subject Drenthe E171047 entity
Predicate hasMunicipality P847 FINISHED
Object Noordenveld E158251 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: Noordenveld | Statement: [Drenthe, hasMunicipality, Noordenveld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noordenveld
Context triple: [Drenthe, hasMunicipality, Noordenveld]
  • A. Noordenveld chosen
    Noordenveld is a municipality in the northeastern Netherlands known for its rural landscapes, historic villages, and location within the province of Drenthe.
  • B. Zuidvelde
    Zuidvelde is a small village in the municipality of Noordenveld in the Dutch province of Drenthe.
  • C. Veldhoven
    Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
  • D. Nijverdal
    Nijverdal is a town in the Dutch province of Overijssel known as a gateway to the Sallandse Heuvelrug National Park and its surrounding natural landscapes.
  • E. Simpelveld
    Simpelveld is a municipality and village in the hilly, historically rich region of South Limburg in the Dutch province of Limburg.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c336308190932c14cec5eec25f completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81edbbe6481908904d1a1f7cfb20a completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 3:11 p.m.