Triple

T1876471
Position Surface form Disambiguated ID Type / Status
Subject municipal council of Haarlemmermeer E39155 entity
Predicate hasSeat P3522 FINISHED
Object Hoofddorp E76459 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: Hoofddorp | Statement: [municipal council of Haarlemmermeer, hasSeat, Hoofddorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoofddorp
Context triple: [municipal council of Haarlemmermeer, hasSeat, Hoofddorp]
  • A. Hoofddorp chosen
    Hoofddorp is the main town and administrative center of the municipality of Haarlemmermeer in the Netherlands.
  • B. Zoetermeer
    Zoetermeer is a modern, rapidly grown satellite city of The Hague in the western Netherlands, known for its residential neighborhoods and light-rail connections.
  • C. Leidschendam-Voorburg
    Leidschendam-Voorburg is a municipality in the western Netherlands, near The Hague, formed by the towns of Leidschendam and Voorburg.
  • D. Zoeterwoude
    Zoeterwoude is a small Dutch municipality and village known for its rural character and location near Leiden in the province of South Holland.
  • E. Amstelveen
    Amstelveen is a suburban municipality in the province of North Holland in the Netherlands, located just south of Amsterdam and known for its residential character and proximity to major cultural and economic centers.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0d902ac8190a2d9bb6f683986e4 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf5fcf588190bcd52c539c3958b0 completed March 28, 2026, 11:45 a.m.
Created at: March 4, 2026, 7:34 p.m.