Triple

T4679247
Position Surface form Disambiguated ID Type / Status
Subject Old Rhine E103757 entity
Predicate terminusNear P1866 FINISHED
Object Katwijk aan Zee E169281 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: Katwijk aan Zee | Statement: [Old Rhine, terminusNear, Katwijk aan Zee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katwijk aan Zee
Context triple: [Old Rhine, terminusNear, Katwijk aan Zee]
  • A. Katwijk chosen
    Katwijk is a coastal town and municipality in the western Netherlands known for its North Sea beaches and historic fishing heritage.
  • B. Hellevoetsluis
    Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
  • C. 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.
  • D. Purmerend
    Purmerend is a Dutch city and municipality located in the province of North Holland, known historically as a market town north of Amsterdam.
  • E. Delfzijl
    Delfzijl is a port town in the northeast of the Netherlands, known for its maritime industry and location on the Ems estuary near the German border.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd636acffc819094e03c5bb53203d8 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69d979c21f5481908bea7fd2c70d2c0b completed April 10, 2026, 10:29 p.m.
Created at: March 20, 2026, 1:16 p.m.