Triple

T7584032
Position Surface form Disambiguated ID Type / Status
Subject Kiruna E179561 entity
Predicate isSeatOf P62 FINISHED
Object Kiruna Municipality E179561 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: Kiruna Municipality | Statement: [Kiruna, isSeatOf, Kiruna Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiruna Municipality
Context triple: [Kiruna, isSeatOf, Kiruna Municipality]
  • A. Samtredia Municipality
    Samtredia Municipality is an administrative district in western Georgia centered around the town of Samtredia, known as a regional transport hub.
  • B. Kiruna chosen
    Kiruna is a mining town in northern Sweden known for its large iron ore mine and its location above the Arctic Circle.
  • C. Nordanstig Municipality
    Nordanstig Municipality is a local government area in east-central Sweden known for its rural landscapes along the Gulf of Bothnia.
  • D. Karlskoga Municipality
    Karlskoga Municipality is a local government area in central Sweden known for its industrial heritage and association with Alfred Nobel.
  • E. Nybro Municipality
    Nybro Municipality is a local government area in southeastern Sweden known for its forests, glassworks heritage, and location within the historical province of Småland.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f993cd0c8190864f801074625a32 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86840abc08190b7ca9fb8e2968311 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:52 p.m.