Triple

T14951688
Position Surface form Disambiguated ID Type / Status
Subject Austevoll archipelago E372808 entity
Predicate hasSettlement P1068 FINISHED
Object Storebø E1129137 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: Storebø | Statement: [Austevoll archipelago, hasSettlement, Storebø]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Storebø
Context triple: [Austevoll archipelago, hasSettlement, 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. Store
    Store is the central NgRx state container that holds application state and enables reactive, unidirectional data flow in Angular applications.
  • D. Almazán
    Almazán is a historic town in the province of Soria, Castile and León, Spain, known for its medieval heritage and role in regional political agreements.
  • E. Store Bay
    Store Bay is a popular beach and tourist hub on the island of Tobago, known for its calm waters, local food stalls, and easy access to nearby attractions like Buccoo Reef.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded690f2e08190ad9dad6dc05a164a completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bda691481909c2d89a362782ed8 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:39 a.m.