Triple

T1876374
Position Surface form Disambiguated ID Type / Status
Subject Lisse E39153 entity
Predicate partOf P40 FINISHED
Object Duin- en Bollenstreek E245550 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: Duin- en Bollenstreek | Statement: [Lisse, partOf, Duin- en Bollenstreek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duin- en Bollenstreek
Context triple: [Lisse, partOf, Duin- en Bollenstreek]
  • A. Bollenstreek chosen
    Bollenstreek is a coastal region in the western Netherlands famous for its extensive flower bulb fields and springtime tulip displays.
  • B. Oud-Beijerland
    Oud-Beijerland is a town in the western Netherlands known as one of the main population centers in the Hoeksche Waard region.
  • C. Achterhoek
    Achterhoek is a rural region in the eastern Netherlands known for its scenic landscapes, traditional farms, and distinctive local culture and dialect.
  • D. Southwestern Netherlands
    Southwestern Netherlands is a coastal region of the Netherlands characterized by its delta landscapes, estuaries, and extensive water management and flood protection works.
  • E. Betuwe
    Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
  • 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_69ae95e5cf008190a6638bb2c8d4d505 completed March 9, 2026, 9:41 a.m.
Created at: March 4, 2026, 7:34 p.m.