Triple

T3750478
Position Surface form Disambiguated ID Type / Status
Subject Troms og Finnmark E81316 entity
Predicate containsTown P847 FINISHED
Object Vardø E227164 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: Vardø | Statement: [Troms og Finnmark, containsTown, Vardø]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vardø
Context triple: [Troms og Finnmark, containsTown, Vardø]
  • A. Vardø chosen
    Vardø is a small coastal town in Norway’s far northeast, known as one of the country’s easternmost settlements and a historic Arctic gateway.
  • B. Kirkenes
    Kirkenes is a remote Arctic town in northeastern Norway, near the Russian border, known for its Barents Sea port, winter tourism, and role as a gateway to the far north.
  • C. Karasjok
    Karasjok is a municipality in northern Norway known as a cultural and political center for the Sámi people.
  • D. Barentsburg
    Barentsburg is a Russian mining settlement on the Norwegian archipelago of Svalbard, known for its coal industry and Soviet-era character.
  • E. Severodvinsk
    Severodvinsk is a Russian port city on the White Sea, known as a major center for the construction and maintenance of nuclear submarines.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb6d0ac4819092c9a41cc60f518d completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503e6c48881909ac813e603175eb0 completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:35 p.m.