Triple

T2321297
Position Surface form Disambiguated ID Type / Status
Subject Askim E51185 entity
Predicate countyBeforeReform P34485 FINISHED
Object Østfold E96296 NE FINISHED

How this triple was built (3 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: Østfold | Statement: [Askim, countyBeforeReform, Østfold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Østfold
Context triple: [Askim, countyBeforeReform, Østfold]
  • A. Østfold chosen
    Østfold is a former county in southeastern Norway known for its coastal landscape along the Oslofjord, historic fortresses, and proximity to the Swedish border.
  • B. Agder
    Agder is a county in southern Norway known for its long coastline, maritime heritage, and popular coastal towns and islands.
  • C. Aust-Agder
    Aust-Agder was a former county in southern Norway known for its coastal towns, forests, and role in the country’s maritime and timber industries.
  • D. Vestfold og Telemark
    Vestfold og Telemark is a former county in southeastern Norway known for its coastal towns, industrial heritage, and varied landscapes from fjords to inland forests and mountains.
  • E. Buskerud
    Buskerud is a former county in southeastern Norway known for its varied landscape of forests, rivers, and mountains, including parts of the Hallingdal valley and Hardangervidda plateau.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countyBeforeReform
Context triple: [Askim, countyBeforeReform, Østfold]
  • A. formerMunicipalityOf
    Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
  • B. historicCountyPredecessor chosen
    Indicates that one historic county served as a predecessor or earlier form of another historic county in an administrative or territorial succession.
  • C. formerRegionBefore2016
    Indicates that an entity was recognized as a region prior to the year 2016 but no longer holds that regional status after 2016.
  • D. formerDistrict
    Indicates that one entity previously served as a district of another entity but no longer holds that status.
  • E. formerCapitalOf
    Indicates that a place once served as the capital of another entity (such as a country or region) but no longer holds that status.
  • F. None of above.

Provenance (4 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc685f05481909c863b29d1f6bacd completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa03e7b6c81909e61671bd4435723 completed March 10, 2026, 4:38 a.m.
PD Predicate disambiguation batch_69abc5909cc48190aab257313542dc49 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:49 p.m.