Triple

T13563785
Position Surface form Disambiguated ID Type / Status
Subject Zutphen E323979 entity
Predicate hasCanals P68777 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: [Zutphen, hasCanals, Berkel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkel
Context triple: [Zutphen, hasCanals, 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 surname of English origin borne by various notable individuals, including American politician Mary Elizabeth Alexander Hanford (Elizabeth Dole).
  • D. 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.
  • E. 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.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00bbe848190bb33efe2af528295 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75daf1bfc8190bf22eb9ef242f54f completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:47 p.m.