Triple

T4741932
Position Surface form Disambiguated ID Type / Status
Subject Gudbrandsdalen E105262 entity
Predicate hasTown P847 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: [Gudbrandsdalen, hasTown, Dombås]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dombås
Context triple: [Gudbrandsdalen, hasTown, 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. Ørsta
    Ørsta is a municipality in Møre og Romsdal county, Norway, known for its dramatic fjord and mountain landscapes and as a center for outdoor activities like hiking and skiing.
  • C. 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.
  • D. 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.
  • E. Østerås
    Østerås is a suburban area in Bærum, Norway, best known as the western endpoint of one of the Oslo Metro lines.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64a7153881909eac451fc7566d25 completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c27ce8c81908253c7639207fd3c completed March 22, 2026, 4:12 a.m.
Created at: March 20, 2026, 1:19 p.m.