Triple

T23483735
Position Surface form Disambiguated ID Type / Status
Subject Asker municipality E570473 entity
Predicate containsSettlement P847 FINISHED
Object Tofte 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: Tofte | Statement: [Asker municipality, containsSettlement, Tofte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tofte
Context triple: [Asker municipality, containsSettlement, Tofte]
  • A. Tofte chosen
    Tofte is a village in the former Hurum municipality in Norway, known for its coastal location along the Oslofjord and industrial history.
  • B. Toft
    Toft is a location that serves as one end of the Yell Sound ferry connection in the Shetland Islands, Scotland.
  • C. Toft
    Toft is a rural estate and small settlement in Cheshire, England, known for its historic hall and proximity to the town of Knutsford.
  • D. Toft
    Toft is a small village in South Cambridgeshire, England, situated just west of Cambridge and known for its rural character and close-knit community.
  • E. Istrup
    Istrup is a village and district within the town of Blomberg in the Lippe region of North Rhine-Westphalia, Germany.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a751e6a08190a42c36722275d5d3 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.