Triple

T12141475
Position Surface form Disambiguated ID Type / Status
Subject West-Friesland E289192 entity
Predicate hasMajorTown P316 FINISHED
Object Enkhuizen E417844 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: Enkhuizen | Statement: [West-Friesland, hasMajorTown, Enkhuizen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enkhuizen
Context triple: [West-Friesland, hasMajorTown, Enkhuizen]
  • A. Enkhuizen chosen
    Enkhuizen is a historic port town in the Dutch province of North Holland, known for its maritime heritage and well-preserved old center on the IJsselmeer.
  • B. Bloemendaal
    Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
  • C. Papendrecht
    Papendrecht is a Dutch town situated on the river Merwede in the province of South Holland, known for its residential character and proximity to the city of Dordrecht.
  • D. Naarden
    Naarden is a historic Dutch fortified town in North Holland, renowned for its well-preserved star-shaped fortifications and moats.
  • E. Oosterhout
    Oosterhout is a town and municipality in the southern Netherlands known for its historic monasteries and proximity to the city of Breda.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915a9838081909622cc14df2a2582 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a035d724d588190a1fa67880c00a9cc completed May 12, 2026, 5:03 p.m.
Created at: April 8, 2026, 9:49 p.m.