Triple

T3004394
Position Surface form Disambiguated ID Type / Status
Subject Teylingen E81864 entity
Predicate borderedBy P224 FINISHED
Object Noordwijk E175264 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: Noordwijk | Statement: [Teylingen, borderedBy, Noordwijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noordwijk
Context triple: [Teylingen, borderedBy, Noordwijk]
  • A. Noordwijk chosen
    Noordwijk is a coastal town in the western Netherlands known for its North Sea beaches, flower bulb fields, and the nearby European Space Agency’s ESTEC facility.
  • B. Katwijk
    Katwijk is a coastal town and municipality in the western Netherlands known for its North Sea beaches and historic fishing heritage.
  • C. Zwijndrecht
    Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
  • D. Naaldwijk
    Naaldwijk is a town in the Westland municipality of the western Netherlands, known for its extensive greenhouse horticulture and flower industry.
  • E. Hellevoetsluis
    Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a149b248190ac4f11afc4871cc1 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c94daace8081908b07274ab876faea completed March 29, 2026, 4:04 p.m.
Created at: March 8, 2026, 2:59 p.m.