Triple

T10450624
Position Surface form Disambiguated ID Type / Status
Subject Akershus county E246411 entity
Predicate hadMunicipality P84684 FINISHED
Object Asker E125781 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: Asker | Statement: [Akershus county, hadMunicipality, Asker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asker
Context triple: [Akershus county, hadMunicipality, Asker]
  • A. Asker chosen
    Asker is a municipality in Viken county, Norway, known for its coastal location near Oslo and its mix of residential areas, cultural sites, and natural landscapes.
  • B. Askeran
    Askeran is a town in the disputed Nagorno-Karabakh region of the South Caucasus, historically known for its strategic location and fortress.
  • C. Aske
    Aske is a surname of Scandinavian origin borne by various individuals, including those with the given name Ellen.
  • D. Asker municipality
    Asker municipality is a local government area in Viken county, Norway, known as a suburban region west of Oslo that includes several affluent residential areas and royal estates.
  • E. Asker, Norway
    Asker, Norway is a suburban municipality southwest of Oslo known for its affluent residential areas, coastal landscapes along the Oslofjord, and role as home to members of the Norwegian royal family.
  • 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: hadMunicipality
Context triple: [Akershus county, hadMunicipality, Asker]
  • A. isMunicipalHomeOf
    Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
  • B. mainMunicipality
    Indicates that one municipality serves as the primary or central administrative municipality associated with another entity or area.
  • C. municipality
    Indicates that one entity is a municipality (a local administrative unit) in which the other entity is located or which it governs.
  • D. hasMunicipalPart chosen
    Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
  • E. hasMunicipalDistrict
    Indicates that an administrative entity includes or is divided into one or more municipal districts as its subordinate units.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe0a6a548190a54212912f618e4e completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87efedf6c8190aa4b7bbe5f160eeb completed April 10, 2026, 4:39 a.m.
PD Predicate disambiguation batch_69d4fb73a5e48190a8df4775bc5da80f completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:17 p.m.