Triple

T9450311
Position Surface form Disambiguated ID Type / Status
Subject Honselersdijk E227870 entity
Predicate locatedInMunicipality P40 FINISHED
Object Westland E71363 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: Westland | Statement: [Honselersdijk, locatedInMunicipality, Westland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westland
Context triple: [Honselersdijk, locatedInMunicipality, Westland]
  • A. Westland chosen
    Westland is a municipality in the Dutch province of South Holland known for its extensive greenhouse horticulture and flower production.
  • B. Westland
    Westland is a suburban city in southeastern Michigan, United States, known as part of the Detroit metropolitan area.
  • C. Kersey
    Kersey is a historic village in Suffolk, England, noted for its picturesque medieval buildings and traditional rural character.
  • D. Whifflet
    Whifflet is a district in Coatbridge, North Lanarkshire, Scotland, known historically for its industrial heritage and railway connections.
  • E. Cowal
    Cowal is a peninsula in Argyll and Bute, Scotland, best known for hosting one of the world’s largest and most prestigious Highland games gatherings.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12268429c8190bf2fd0f3ea4dac4a completed April 4, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:51 p.m.