Triple

T18113840
Position Surface form Disambiguated ID Type / Status
Subject Mjøndalen E433548 entity
Predicate previousCountrySubdivision P30672 FINISHED
Object Buskerud 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: Buskerud county | Statement: [Mjøndalen, previousCountrySubdivision, Buskerud county]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previousCountrySubdivision
Context triple: [Mjøndalen, previousCountrySubdivision, Buskerud county]
  • A. previousCountry
    Indicates that one country was the immediately preceding country associated with, visited by, or occupied by a given entity before its current country.
  • B. previousProvince
    Indicates that one province was the immediately preceding administrative region of another in a temporal or historical sequence.
  • C. formerSubdivisionOf chosen
    Indicates that an entity once functioned as an administrative or territorial part of another entity but no longer holds that status.
  • D. previousStateOfBirth
    Indicates that one state or condition existed immediately before another state or condition came into being.
  • E. associatedCountrySubdivision
    Indicates a relationship where an entity is linked to a specific administrative subdivision (such as a state, province, or region) within a country.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd4c7888190b85c39decdb0333f completed April 19, 2026, 1:51 p.m.
PD Predicate disambiguation batch_69e43313ca788190baa224269e71de49 completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:28 a.m.