Triple

T4843397
Position Surface form Disambiguated ID Type / Status
Subject Moss, Norway E108229 entity
Predicate previouslyLocatedIn P59728 FINISHED
Object Østfold county 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 county | Statement: [Moss, Norway, previouslyLocatedIn, Østfold county]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Østfold county
Context triple: [Moss, Norway, previouslyLocatedIn, Østfold county]
  • 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. Akershus county
    Akershus county was a former county in southeastern Norway that historically surrounded Oslo and included both urban suburbs and rural areas before being merged into Viken county.
  • C. Agder
    Agder is a county in southern Norway known for its long coastline, maritime heritage, and popular coastal towns and islands.
  • D. 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.
  • E. 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.
  • 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: previouslyLocatedIn
Context triple: [Moss, Norway, previouslyLocatedIn, Østfold county]
  • A. formerlyLocatedOn
    Indicates that an entity was once located on or situated upon another entity, but is no longer in that position.
  • B. relocatedFrom
    Indicates that an entity has moved or been transferred away from a specified original location.
  • C. relocatedTo
    Indicates that an entity has moved or been transferred from its previous location to a new specified location.
  • D. previousVersionLocationOfAdoption
    Indicates that one entity is the location where an earlier or prior version of another entity was adopted.
  • E. previouslyContainedCity
    Indicates that one location used to include a particular city within its boundaries or jurisdiction at some time in the past, but no longer does.
  • F. None of above. chosen

Provenance (5 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e01872c81909607010c10538ad1 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5ccdf7a081909624f5cff787e688 completed March 21, 2026, 8:54 a.m.
PD Predicate disambiguation batch_69bd6c2375a4819098e16acb982c8fab completed March 20, 2026, 3:47 p.m.
PDg Predicate description generation batch_69bd6dfff1488190a32bbb615bfab970 completed March 20, 2026, 3:55 p.m.
Created at: March 20, 2026, 1:25 p.m.