Triple

T4401179
Position Surface form Disambiguated ID Type / Status
Subject Pieter Oud E93618 entity
Predicate placeOfBirth P1 FINISHED
Object Purmerend E484991 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: Purmerend | Statement: [Pieter Oud, placeOfBirth, Purmerend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Purmerend
Context triple: [Pieter Oud, placeOfBirth, Purmerend]
  • A. Purmerend chosen
    Purmerend is a Dutch city and municipality located in the province of North Holland, known historically as a market town north of Amsterdam.
  • B. Hellevoetsluis
    Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
  • C. IJmuiden
    IJmuiden is a Dutch port and industrial town on the North Sea coast, known for its major fishing harbor, steel industry, and sea locks connecting to the North Sea Canal.
  • D. Zaandam
    Zaandam is a city in the North Holland province of the Netherlands, known for its historic windmills, traditional wooden houses, and proximity to Amsterdam.
  • E. Alkmaar
    Alkmaar is a historic city in the Netherlands, renowned for its traditional cheese market and well-preserved medieval center.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352cf218481908d072fec58361f28 completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69d5e25dcb108190aaed79d8c64361a8 completed April 8, 2026, 5:06 a.m.
Created at: March 12, 2026, 11:28 p.m.