Triple

T10150983
Position Surface form Disambiguated ID Type / Status
Subject Biezelinge E232636 entity
Predicate hasOfficialName P66 FINISHED
Object Biezelinge E232636 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: Biezelinge | Statement: [Biezelinge, hasOfficialName, Biezelinge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biezelinge
Context triple: [Biezelinge, hasOfficialName, Biezelinge]
  • A. Biezelinge chosen
    Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
  • B. Groesbeek
    Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
  • C. Beersel
    Beersel is a municipality in the Flemish Brabant province of Belgium, known for its historic Beersel Castle and traditional lambic and gueuze breweries.
  • D. Bergeijk
    Bergeijk is a municipality and village in the southern Netherlands, located in the province of North Brabant near the Belgian border.
  • E. Bilzen
    Bilzen is a historic city and municipality in the Belgian province of Limburg, known for its medieval heritage and the nearby Alden Biesen Castle.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec0584a48190b65daa8370555c27 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69f63ed654848190b53e8b64d81eb143 completed May 2, 2026, 6:13 p.m.
Created at: March 30, 2026, 9:08 p.m.