Triple

T7055803
Position Surface form Disambiguated ID Type / Status
Subject Stavanger Airport, Sola E164087 entity
Predicate locatedIn P40 FINISHED
Object Sola E577056 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: Sola | Statement: [Stavanger Airport, Sola, locatedIn, Sola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sola
Context triple: [Stavanger Airport, Sola, locatedIn, Sola]
  • A. Sola chosen
    Sola is a coastal municipality in southwestern Norway known for its beaches, Stavanger Airport, and proximity to the city of Stavanger in Rogaland county.
  • B. La Fe
    La Fe is a small town located on Isla de la Juventud, an island municipality of Cuba.
  • C. Svaty
    Svaty is a popular Ukrainian comedy television series produced by Kvartal 95 Studio, known for its humorous portrayal of family life and generational clashes.
  • D. Andreae
    Andreae is a German surname historically associated with notable theologians and scholars, particularly in the context of the Protestant Reformation.
  • E. Angústias
    Angústias is a civil parish located on Faial Island in the Azores archipelago of Portugal.
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e269050c81908c186609a8a7bcf9 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7889ddd488190b1e55828909133eb completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:38 p.m.