Triple

T4284071
Position Surface form Disambiguated ID Type / Status
Subject Zuid-Holland E97222 entity
Predicate contains P35 FINISHED
Object Spijkenisse E70497 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: Spijkenisse | Statement: [Zuid-Holland, contains, Spijkenisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spijkenisse
Context triple: [Zuid-Holland, contains, Spijkenisse]
  • A. Spijkenisse chosen
    Spijkenisse is a town and former municipality in the western Netherlands, now part of the municipality of Nissewaard and known as a suburban area near Rotterdam.
  • B. Winkel van Sinkel
    Winkel van Sinkel is a historic former department store and cultural landmark in the center of Utrecht, Netherlands, now used as a venue for events, dining, and nightlife.
  • C. Zesgehuchten
    Zesgehuchten was a former village and municipality in the Dutch province of North Brabant, now part of the city of Geldrop-Mierlo.
  • D. De Kwakel
    De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
  • E. Veermansplaat
    Veermansplaat is a small, uninhabited island and nature area located in the Grevelingen estuary in the southwestern Netherlands.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503c062c81908f9a9eeab5381ec9 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7c2023c8190a2359f8cabcecd2c completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.