Triple

T27558392
Position Surface form Disambiguated ID Type / Status
Subject Skjetten E695705 entity
Predicate locatedInCountyBefore2020 P110432 FINISHED
Object Akershus 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: Akershus county | Statement: [Skjetten, locatedInCountyBefore2020, Akershus county]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInCountyBefore2020
Context triple: [Skjetten, locatedInCountyBefore2020, Akershus county]
  • A. hasFormerCounty chosen
    Indicates that an entity was previously part of, or administered by, a particular county in the past but no longer is.
  • B. previousCounty
    Indicates that one county was the immediately preceding county associated with an entity before the current or later county.
  • C. establishedAsCountyInCurrentForm
    Indicates that an administrative region became a county in its present organizational or territorial form on a specific date or during a specific period.
  • D. countyAfter2020Reform
    Indicates that an administrative county exists in its form or status as defined following the 2020 reform.
  • E. unifiedAsCountyInYear
    Indicates that multiple areas or jurisdictions were merged into a single county in the specified year.
  • 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_69ef5387e97c8190a9dab040d21cd048 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69ff0214d7348190904688376df99bce completed May 9, 2026, 9:44 a.m.
PD Predicate disambiguation batch_69feffd62fec8190a855922c8b3c57cf completed May 9, 2026, 9:35 a.m.
Created at: April 27, 2026, 1:38 p.m.