Triple

T7912384
Position Surface form Disambiguated ID Type / Status
Subject Beisfjorden E183729 entity
Predicate hasShoreSettlement P16159 FINISHED
Object Narvik E33599 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: Narvik | Statement: [Beisfjorden, hasShoreSettlement, Narvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narvik
Context triple: [Beisfjorden, hasShoreSettlement, Narvik]
  • A. Narvik chosen
    Narvik is a port town in northern Norway known for its strategic importance during World War II and as the site of major naval and land battles.
  • B. Kiruna
    Kiruna is a mining town in northern Sweden known for its large iron ore mine and its location above the Arctic Circle.
  • C. Karasjok
    Karasjok is a municipality in northern Norway known as a cultural and political center for the Sámi people.
  • D. Notodden
    Notodden is a town and municipality in Vestfold og Telemark county, Norway, known for its industrial heritage and annual blues festival.
  • E. Bojnord
    Bojnord is a city in northeastern Iran that serves as the capital of North Khorasan Province.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a7383cc819084eab19799209d2e completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdff156c481909a32be8828f407ad completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:04 p.m.