Triple

T3145149
Position Surface form Disambiguated ID Type / Status
Subject Oppland E65743 entity
Predicate hasMajorTown P316 FINISHED
Object Dombås E302488 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: Dombås | Statement: [Oppland, hasMajorTown, Dombås]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dombås
Context triple: [Oppland, hasMajorTown, Dombås]
  • A. Dombås chosen
    Dombås is a village in central Norway that serves as an important road and rail junction in the Gudbrandsdalen region and was a notable site of fighting during World War II.
  • B. Porsgrunn
    Porsgrunn is an industrial and port city in Telemark county in southeastern Norway, known for its porcelain production and location along the Telemark Canal.
  • C. Skien
    Skien is a historic city in southern Norway known as the birthplace of playwright Henrik Ibsen and as a regional commercial and industrial center.
  • D. Østerås
    Østerås is a suburban area in Bærum, Norway, best known as the western endpoint of one of the Oslo Metro lines.
  • E. Larvik
    Larvik is a coastal town and municipality in Vestfold, Norway, known for its harbor, beaches, and historic connections to the shipping and timber industries.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59797788190a8d71262888c5df0 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38babb044819098f887ac4fb0bab2 completed March 13, 2026, 3:59 a.m.
Created at: March 8, 2026, 3:05 p.m.