Triple

T22155177
Position Surface form Disambiguated ID Type / Status
Subject Sallandse Heuvelrug E547515 entity
Predicate near P350 FINISHED
Object Hellendoorn NE NERFINISHED

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: Hellendoorn | Statement: [Sallandse Heuvelrug, near, Hellendoorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellendoorn
Context triple: [Sallandse Heuvelrug, near, Hellendoorn]
  • A. Hellendoorn chosen
    Hellendoorn is a municipality in the Dutch province of Overijssel, known for its scenic landscapes, including the Sallandse Heuvelrug National Park, and its historic villages.
  • B. Korendijk
    Korendijk was a former municipality in the Dutch province of South Holland that later became part of the larger municipality of Hoeksche Waard.
  • C. Poortvliet
    Poortvliet is a village in the Dutch province of Zeeland, located on the island of Tholen.
  • D. Steendam
    Steendam is a small village in the province of Groningen in the Netherlands, known for its rural setting near the Schildmeer lake.
  • E. Bergvliet
    Bergvliet is a quiet, predominantly residential suburb in Cape Town known for its family-friendly atmosphere, schools, and tree-lined streets.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f7d034819092ecf9682e549c9a completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.