Triple

T8037701
Position Surface form Disambiguated ID Type / Status
Subject Pijnacker-Nootdorp E187151 entity
Predicate formedByMergerOf P77 FINISHED
Object Pijnacker E709235 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: Pijnacker | Statement: [Pijnacker-Nootdorp, formedByMergerOf, Pijnacker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pijnacker
Context triple: [Pijnacker-Nootdorp, formedByMergerOf, Pijnacker]
  • A. Pijnacker chosen
    Pijnacker is a town in the Dutch province of South Holland, known as a suburban community situated between The Hague and Rotterdam.
  • B. Passewaaij
    Passewaaij is a residential neighborhood of the Dutch city of Tiel, located in the province of Gelderland.
  • C. Winschoten
    Winschoten is a town in the northeast of the Netherlands known historically as a regional trade center and for its traditional windmills and Jewish heritage.
  • D. Noordwyk
    Noordwyk is a residential suburb located within the Midrand area of Johannesburg, South Africa.
  • E. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f19a6b4819085e2887fb0c54d08 completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93bc11108190a34a35d0022f4bfd completed April 1, 2026, 3:40 a.m.
Created at: March 30, 2026, 5:23 p.m.