Triple

T3388656
Position Surface form Disambiguated ID Type / Status
Subject Westland E71363 entity
Predicate hasSettlement P1068 FINISHED
Object ’s-Gravenzande E354472 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: ’s-Gravenzande | Statement: [Westland, hasSettlement, ’s-Gravenzande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ’s-Gravenzande
Context triple: [Westland, hasSettlement, ’s-Gravenzande]
  • A. ’s-Gravenzande chosen
    ’s-Gravenzande is a town in the Dutch province of South Holland that now forms part of the municipality of Westland.
  • B. Waddinxveen
    Waddinxveen is a town and municipality in the western Netherlands known for its location along the Gouwe River and its role in regional industry and logistics.
  • C. Beemster
    Beemster is a historic Dutch polder and UNESCO World Heritage Site in North Holland, renowned for its meticulously planned reclaimed landscape and geometric layout.
  • D. Alblasserdam
    Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
  • E. Zaanstad
    Zaanstad is a municipality in the province of North Holland in the Netherlands, known for its historic windmills, industrial heritage, and the picturesque Zaanse Schans area.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb665c6008190b33994ef20f5bd61 completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35462c69481909700f01bacdac3e1 completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:14 p.m.