Triple

T17614232
Position Surface form Disambiguated ID Type / Status
Subject Austevoll Municipality E429040 entity
Predicate hasPopulationCentre P2106 FINISHED
Object Storebø NE NERFINISHED

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: Storebø | Statement: [Austevoll Municipality, hasPopulationCentre, Storebø]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Storebø
Context triple: [Austevoll Municipality, hasPopulationCentre, Storebø]
  • A. Storebø chosen
    Storebø is a village in Vestland county, Norway, known as the main settlement and hub of community life in the island municipality of Austevoll.
  • B. Storegut
    Storegut is a narrative poem by Norwegian writer Aasmund Olavsson Vinje that portrays rural life and folk culture in 19th-century Norway.
  • C. Speicher
    Speicher is a Swiss municipality located in the canton of Appenzell Ausserrhoden, known for its scenic setting in northeastern Switzerland.
  • D. Astore
    Astore is a mountainous valley and town in the Gilgit-Baltistan region of northern Pakistan, known as a gateway to the Himalayas and nearby Nanga Parbat.
  • E. Store
    Store is the central NgRx state container that holds application state and enables reactive, unidirectional data flow in Angular applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d2fd96481908c9f3b566fca6907 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.