Triple

T14186604
Position Surface form Disambiguated ID Type / Status
Subject Hoeksche Waard E351593 entity
Predicate hasPart P35 FINISHED
Object Klaaswaal E71365 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: Klaaswaal | Statement: [Hoeksche Waard, hasPart, Klaaswaal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klaaswaal
Context triple: [Hoeksche Waard, hasPart, Klaaswaal]
  • A. Klaaswaal chosen
    Klaaswaal is a village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • B. Hartenbos
    Hartenbos is a popular coastal holiday town and beach resort in South Africa’s Western Cape, near Mossel Bay, known for its family-friendly atmosphere and seaside tourism.
  • C. Bergvliet
    Bergvliet is a quiet, predominantly residential suburb in Cape Town known for its family-friendly atmosphere, schools, and tree-lined streets.
  • D. Vosloo
    Vosloo is a South African surname most notably associated with actor Arnold Vosloo, known for his roles in films such as "The Mummy."
  • E. Koepoort
    Koepoort is a historic Dutch city gate known as one of the traditional entrances to a fortified town in the Netherlands.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cd5778819092a03597bcdcc182 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19433dc08190b4d2f1aef1b2d67d completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:03 a.m.