Triple

T17671881
Position Surface form Disambiguated ID Type / Status
Subject George Airport E440538 entity
Predicate hasAirlineService P12356 FINISHED
Object Airlink 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: Airlink | Statement: [George Airport, hasAirlineService, Airlink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airlink
Context triple: [George Airport, hasAirlineService, Airlink]
  • A. Airlink chosen
    Airlink is a South African regional airline that operates scheduled passenger services connecting smaller cities and remote destinations with major hubs in Southern Africa.
  • B. Airlink Express
    Airlink Express is a former dedicated airport bus service that connected Dublin Airport with central Dublin, operated by the city’s public transport company Dublin Bus.
  • C. Silver Airways
    Silver Airways is a U.S. regional airline that primarily operates short-haul flights within Florida and the southeastern United States, as well as to nearby Caribbean destinations.
  • D. Kel Air
    Kel Air is a Tuareg confederation inhabiting the Aïr Mountains region of northern Niger, known for its nomadic pastoralist traditions and historical role in Saharan trade.
  • E. White Airways
    White Airways is a Portuguese charter and regional airline that operates flights on behalf of other carriers, including TAP Express.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f69b11c8190b09add33f81776b3 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 9:59 a.m.