Triple

T9043785
Position Surface form Disambiguated ID Type / Status
Subject Ruurlo E216703 entity
Predicate hasMunicipality P847 FINISHED
Object Berkelland E547484 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: Berkelland | Statement: [Ruurlo, hasMunicipality, Berkelland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkelland
Context triple: [Ruurlo, hasMunicipality, Berkelland]
  • A. Berkelland chosen
    Berkelland is a municipality in the eastern Netherlands, located in the Achterhoek region of the province of Gelderland.
  • B. Bellevue
    Bellevue is a Canadian television drama series starring Anna Paquin as a detective investigating the disappearance of a transgender teen in a small, tightly knit town.
  • C. Bellevue
    Bellevue is a city in eastern Nebraska, part of the Omaha metropolitan area and one of the state's oldest continuous settlements.
  • D. Bellevue
    Bellevue is a commuter rail station in West Roxbury, Boston, served by the MBTA's Needham Line.
  • E. Bellevue
    Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b137cec8190bd1b812c10d9542a completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01773694c8190830f9294c3ec4f54 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:09 p.m.