Triple

T13521534
Position Surface form Disambiguated ID Type / Status
Subject Kvæfjord E322907 entity
Predicate hasNeighbour P5707 FINISHED
Object Harstad E439363 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: Harstad | Statement: [Kvæfjord, hasNeighbour, Harstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harstad
Context triple: [Kvæfjord, hasNeighbour, Harstad]
  • A. Harstad
    Harstad is a coastal town and municipality in Troms county, known as an important regional center in Northern Norway with a strong maritime and cultural heritage.
  • B. Kristinestad
    Kristinestad is a small coastal town in western Finland known for its well-preserved wooden old town and historic maritime character.
  • C. Tonstad
    Tonstad is a small village in Agder county, Norway, serving as the administrative and commercial center of Sirdal municipality.
  • D. Harstad municipality chosen
    Harstad municipality is a local government area in Troms county, northern Norway, centered on the coastal town of Harstad and known for its maritime industries and Arctic landscape.
  • E. Stavern
    Stavern is a small coastal town in southern Norway known for its historic fortress, maritime heritage, and role as a popular summer holiday destination.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa3df0c8190804174695587f0ea completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d3afa0c81908733f3fd193d4e0f completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:44 p.m.