Triple

T10428160
Position Surface form Disambiguated ID Type / Status
Subject Lier E245839 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Asker E125781 NE FINISHED

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: Asker | Statement: [Lier, neighboringMunicipality, Asker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asker
Context triple: [Lier, neighboringMunicipality, 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.

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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4a7dcc81909a830e08656a1c0c completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc2b50b48190b1d5b29d19a240c2 completed April 9, 2026, 7:21 p.m.
Created at: April 6, 2026, 12:13 p.m.