Triple

T6981706
Position Surface form Disambiguated ID Type / Status
Subject Trondheim Airport, Værnes E161861 entity
Predicate locatedInMunicipality P40 FINISHED
Object Stjørdal E658920 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: Stjørdal | Statement: [Trondheim Airport, Værnes, locatedInMunicipality, Stjørdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stjørdal
Context triple: [Trondheim Airport, Værnes, locatedInMunicipality, Stjørdal]
  • A. Stjørdal chosen
    Stjørdal is a Norwegian town and municipality in Trøndelag county, known as a regional transport hub near Trondheim and for its location at the mouth of the Stjørdalselva river.
  • B. Nord-Valdres
    Nord-Valdres is the northern part of the traditional Valdres district in Innlandet county, Norway, known for its mountainous landscapes, valleys, and rural communities.
  • C. Møre og Romsdal
    Møre og Romsdal is a coastal county in western Norway known for its dramatic fjords, islands, and mountainous landscapes.
  • D. Sogn og Fjordane
    Sogn og Fjordane was a former county in western Norway known for its dramatic fjords, mountains, and coastal landscapes.
  • E. Romsdal
    Romsdal is a traditional district in Møre og Romsdal county in western Norway, known for its dramatic fjords, mountains, and the town of Molde.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6d3f3c8190b0121f7934440c34 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8de8efd648190b70b4299ecae32c7 completed March 29, 2026, 8:10 a.m.
Created at: March 27, 2026, 2:31 p.m.