Triple

T7711658
Position Surface form Disambiguated ID Type / Status
Subject Naaldwijk E174772 entity
Predicate hasSportsClub P346 FINISHED
Object vv Naaldwijk E174772 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: vv Naaldwijk | Statement: [Naaldwijk, hasSportsClub, vv Naaldwijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: vv Naaldwijk
Context triple: [Naaldwijk, hasSportsClub, vv Naaldwijk]
  • A. Naaldwijk chosen
    Naaldwijk is a town in the Westland municipality of the western Netherlands, known for its extensive greenhouse horticulture and flower industry.
  • B. Noordwijk
    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.
  • C. Nieuwendam
    Nieuwendam is a historic neighborhood in the northern part of Amsterdam, known for its former village character and waterfront location along the IJ.
  • D. Voeren
    Voeren is a small, Dutch-speaking municipality in the easternmost part of Belgium, known for its rural landscape and linguistic and cultural border position between Flanders, Wallonia, and the Netherlands.
  • E. Waalwijk, Netherlands
    Waalwijk, Netherlands is a town in the province of North Brabant known for its historical leather and shoe industry and its location between Tilburg and the River Maas.
  • 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_69c6995b3e8c8190833108f883d5f53c completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ae8b20819096930fe4be41b7be completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8accffffc8190b307ad4741e688a8 completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:04 p.m.