Triple

T6724051
Position Surface form Disambiguated ID Type / Status
Subject VLG E153467 entity
Predicate airlineIATAcode P12360 FINISHED
Object VY E153466 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: VY | Statement: [VLG, airlineIATAcode, VY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VY
Context triple: [VLG, airlineIATAcode, VY]
  • A. VY chosen
    VY is the IATA airline designator assigned to Vueling, a Spanish low-cost carrier based in Barcelona.
  • B. Vy
    Vy is a major Norwegian railway and public transport company operating regional, intercity, and commuter train services across Norway and parts of Sweden.
  • C. YV
    YV is the IATA airline designator used to identify Mesa Airlines in flight schedules and ticketing systems.
  • D. VLY
    VLY is the IATA airport code for Royal Air Force Valley, a military airbase on the island of Anglesey in Wales.
  • E. VBY
    VBY is the IATA airport code for Visby Airport, which serves the city of Visby on the Swedish island of Gotland.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d13b296c8190bf54009063032c6d completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70afcbe308190909fe8f34ca8e5e2 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:08 p.m.