Triple

T10043365
Position Surface form Disambiguated ID Type / Status
Subject Coesfeld E205349 entity
Predicate locatedOnRiver P165 FINISHED
Object Berkel E547487 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: Berkel | Statement: [Coesfeld, locatedOnRiver, Berkel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkel
Context triple: [Coesfeld, locatedOnRiver, Berkel]
  • A. Berkel chosen
    The Berkel is a river in the eastern Netherlands and western Germany that flows through the Achterhoek region before joining the IJssel.
  • B. Hanford
    Hanford is a village in Staffordshire, England, situated near the town of Trentham and forming part of the wider Stoke-on-Trent urban area.
  • C. Hanford
    Hanford is a small agricultural and commercial city in California’s San Joaquin Valley, known as a regional hub for farming, dairy production, and historic downtown architecture.
  • D. Livermore
    Livermore is a city in California’s Tri-Valley region known for its wine country, historic downtown, and proximity to major scientific research facilities.
  • E. Berkelland
    Berkelland is a municipality in the eastern Netherlands, located in the Achterhoek region of the province of Gelderland.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf60a2208190846e57b5f5649307 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28278235c8190a5e833a9586bd3f5 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.