Triple

T13305635
Position Surface form Disambiguated ID Type / Status
Subject Hartekamp estate E316928 entity
Predicate nearCity P350 FINISHED
Object Bennebroek E318950 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: Bennebroek | Statement: [Hartekamp estate, nearCity, Bennebroek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bennebroek
Context triple: [Hartekamp estate, nearCity, Bennebroek]
  • A. Bennebroek chosen
    Bennebroek is a small town in North Holland, Netherlands, known as one of the country’s smallest former municipalities before merging into Bloemendaal.
  • B. Neder-Over-Heembeek
    Neder-Over-Heembeek is a residential district in the northern part of the Brussels-Capital Region, known for its mix of urban neighborhoods, green spaces, and historical sites.
  • C. Willebroek
    Willebroek is a municipality in northern Belgium known for its canal connections and location between Brussels and Antwerp.
  • D. Borsbeek
    Borsbeek is a small municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • E. Tombeek
    Tombeek is a village and sub-municipality of Overijse in the Flemish Brabant province of Belgium.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a76adc8190ab9abcdb79a21ca8 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f794202df08190acf1a7710b64198c completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 9:28 p.m.