Triple

T1504023
Position Surface form Disambiguated ID Type / Status
Subject Randstad metropolitan region E33858 entity
Predicate containsCity P294 FINISHED
Object Zoetermeer E162179 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: Zoetermeer | Statement: [Randstad metropolitan region, containsCity, Zoetermeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoetermeer
Context triple: [Randstad metropolitan region, containsCity, Zoetermeer]
  • A. Zoetermeer chosen
    Zoetermeer is a modern, rapidly grown satellite city of The Hague in the western Netherlands, known for its residential neighborhoods and light-rail connections.
  • B. Zoeterwoude
    Zoeterwoude is a small Dutch municipality and village known for its rural character and location near Leiden in the province of South Holland.
  • C. 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.
  • D. Hoofddorp
    Hoofddorp is the main town and administrative center of the municipality of Haarlemmermeer in the Netherlands.
  • E. Vlaardingen
    Vlaardingen is a historic port city in the western Netherlands, situated along the Nieuwe Maas river and known for its former herring fishing industry.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a88731a8f081908b8facef7b602c02 completed March 4, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712687f408190ac948dcc990e8e08 completed March 27, 2026, 11:27 p.m.
Created at: March 4, 2026, 7:24 p.m.