Triple

T8297101
Position Surface form Disambiguated ID Type / Status
Subject Province of Groningen E194246 entity
Predicate hasMunicipality P847 FINISHED
Object Westerkwartier E55651 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: Westerkwartier | Statement: [Province of Groningen, hasMunicipality, Westerkwartier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westerkwartier
Context triple: [Province of Groningen, hasMunicipality, Westerkwartier]
  • A. Westerkwartier chosen
    Westerkwartier is a municipality in the Dutch province of Groningen, known for its rural landscapes, historic villages, and distinctive regional culture.
  • B. Achterhoek
    Achterhoek is a rural region in the eastern Netherlands known for its scenic landscapes, traditional farms, and distinctive local culture and dialect.
  • C. Bezuidenhout district
    Bezuidenhout district is a central neighborhood in The Hague, Netherlands, known for its mix of offices, residential areas, and major transport connections.
  • D. De Wijk
    De Wijk is a village in the Dutch province of Drenthe, known for its historic buildings and rural character within the municipality of De Wolden.
  • E. Wilrijk
    Wilrijk is a southern district of the Belgian city of Antwerp, known for its residential character and green spaces.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df887148190bddc2609bc885cb4 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68ad2f248190a1de95c01ddee259 completed April 1, 2026, 6:49 p.m.
Created at: March 30, 2026, 5:53 p.m.