Triple

T6924564
Position Surface form Disambiguated ID Type / Status
Subject Luleå E160272 entity
Predicate partOf P40 FINISHED
Object Luleå Municipality E160272 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: Luleå Municipality | Statement: [Luleå, partOf, Luleå Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luleå Municipality
Context triple: [Luleå, partOf, Luleå Municipality]
  • A. Luleå chosen
    Luleå is a coastal city in northern Sweden known for its major port, technology and university hub, and proximity to the Arctic Circle.
  • B. Lidingö Municipality
    Lidingö Municipality is a suburban island municipality in eastern Sweden, forming part of the Stockholm urban area and known for its affluent residential character and natural surroundings.
  • C. Samtredia Municipality
    Samtredia Municipality is an administrative district in western Georgia centered around the town of Samtredia, known as a regional transport hub.
  • D. Skellefteå
    Skellefteå is a city in northern Sweden known for its growing high-tech and green industry sector, particularly in battery manufacturing, as well as its ice hockey tradition.
  • E. Ekerö Municipality
    Ekerö Municipality is a suburban island municipality in eastern Sweden known for its natural landscapes and historic sites, located just west of central Stockholm.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da18b6388190947dfc1eb9e5d382 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75859735081909382f1542271a1e4 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:26 p.m.