Triple

T23202920
Position Surface form Disambiguated ID Type / Status
Subject EKVG E580367 entity
Predicate identifies P310 FINISHED
Object Vágar Airport 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: Vágar Airport | Statement: [EKVG, identifies, Vágar Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vágar Airport
Context triple: [EKVG, identifies, Vágar Airport]
  • A. Vágar Airport chosen
    Vágar Airport is the main international airport serving the Faroe Islands, providing the primary air connection between the archipelago and other countries.
  • B. Leknes Airport
    Leknes Airport is a small regional airport in Norway’s Lofoten archipelago that provides vital domestic connections for residents and tourists.
  • C. Faro Airport
    Faro Airport is the main international airport serving Portugal’s Algarve region, handling millions of tourists each year who visit its popular coastal resorts.
  • D. Keflavík International Airport
    Keflavík International Airport is Iceland’s main international gateway, serving the capital area and handling the vast majority of the country’s overseas flights.
  • E. Stronsay Airport
    Stronsay Airport is a small regional airfield in the Orkney Islands of Scotland that provides local air services connecting the island of Stronsay with other nearby islands and the Scottish mainland.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907a8bb48190846802a24d33bccf completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:07 p.m.