Triple

T22326714
Position Surface form Disambiguated ID Type / Status
Subject Haugen farm E551919 entity
Predicate locatedIn P40 FINISHED
Object Østfold region 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: Østfold region | Statement: [Haugen farm, locatedIn, Østfold region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Østfold region
Context triple: [Haugen farm, locatedIn, Østfold region]
  • 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. Arendal region
    The Arendal region is an area in southern Norway centered around the coastal town of Arendal, known for its maritime heritage and scenic archipelago.
  • C. North Denmark Region
    North Denmark Region is an administrative region in northern Denmark that encompasses the northernmost part of the Jutland Peninsula, including Aalborg as its largest city.
  • D. Asker region
    Asker region is a municipality and suburban area in Viken county, Norway, known for its coastal landscape along the Oslofjord and its role as part of the Greater Oslo region.
  • E. Østlandet
    Østlandet is the most populous region of southeastern Norway, encompassing the capital city Oslo and surrounding inland and coastal areas.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157693460819087c165481eb9e128 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.