Triple

T1504039
Position Surface form Disambiguated ID Type / Status
Subject Randstad metropolitan region E33858 entity
Predicate surrounds P7850 FINISHED
Object Groene Hart E534416 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: Groene Hart | Statement: [Randstad metropolitan region, surrounds, Groene Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groene Hart
Context triple: [Randstad metropolitan region, surrounds, Groene Hart]
  • A. Groene Hart chosen
    Groene Hart is a largely rural, green area in the western Netherlands, situated between major cities like Amsterdam, Rotterdam, The Hague, and Utrecht, known for its open landscapes, peat meadows, and nature conservation.
  • B. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • C. Bloemendaal
    Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
  • D. Hulst
    Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
  • E. Papendrecht
    Papendrecht is a Dutch town situated on the river Merwede in the province of South Holland, known for its residential character and proximity to the city of Dordrecht.
  • 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_69c059b1c950819091ec6706fb06d2e6 completed March 22, 2026, 9:05 p.m.
Created at: March 4, 2026, 7:24 p.m.