Triple

T19288195
Position Surface form Disambiguated ID Type / Status
Subject Åsnes E482368 entity
Predicate countyPreviously P110432 FINISHED
Object Hedmark county 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: Hedmark county | Statement: [Åsnes, countyPreviously, Hedmark county]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countyPreviously
Context triple: [Åsnes, countyPreviously, Hedmark county]
  • A. previousCounty
    Indicates that one county was the immediately preceding county associated with an entity before the current or later county.
  • B. hasFormerCounty chosen
    Indicates that an entity was previously part of, or administered by, a particular county in the past but no longer is.
  • C. formerDistrict
    Indicates that one entity previously served as a district of another entity but no longer holds that status.
  • D. cityPreviouslyLocatedIn
    Indicates that a city was formerly situated within a specified location or administrative region, but is no longer located there.
  • E. previousProvince
    Indicates that one province was the immediately preceding administrative region of another in a temporal or historical sequence.
  • F. None of above.

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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc043fa481909bbe281a70fb508e completed April 20, 2026, 10:12 a.m.
PD Predicate disambiguation batch_69e4dd0bc7508190a6f9d56bd4c3404f completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:30 p.m.