Triple

T18635009
Position Surface form Disambiguated ID Type / Status
Subject Barra–Glasgow E455522 entity
Predicate hasIATAAirportCodeAtDestination P45615 FINISHED
Object GLA NE NERFINISHED

How this triple was built (3 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: GLA | Statement: [Barra–Glasgow, hasIATAAirportCodeAtDestination, GLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GLA
Context triple: [Barra–Glasgow, hasIATAAirportCodeAtDestination, GLA]
  • A. GLA chosen
    GLA is the three-letter IATA airport code for Glasgow Airport, the main international airport serving Glasgow, Scotland.
  • B. Gla
    Gla is a large fortified Mycenaean archaeological site in Boeotia, Greece, notable for its massive walls and strategic position overlooking the former Lake Kopais.
  • C. GCLA
    GCLA is the ICAO airport code for La Palma Airport in Spain’s Canary Islands.
  • D. GLAA
    GLAA is a UK government body responsible for licensing labour providers and investigating labour exploitation and modern slavery in high-risk sectors.
  • E. Agly
    The Agly is a river in southern France that flows through the Occitanie region before emptying into the Mediterranean Sea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIATAAirportCodeAtDestination
Context triple: [Barra–Glasgow, hasIATAAirportCodeAtDestination, GLA]
  • A. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • B. hasOriginAirport
    Indicates that something, typically a flight or journey, departs from or is associated with a specific origin airport.
  • C. typicalDestinationAirportIATA chosen
    Indicates the IATA airport code that is typically the destination in this kind of trip or route.
  • D. hasEndpointAirport
    Indicates that something, such as a route or flight, has a specific airport as one of its terminal endpoints.
  • E. hasIATAFlightNumber
    Indicates that an entity (typically a flight) is associated with a specific IATA-designated flight number.
  • F. None of above.

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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc80b308190932303231524d372 completed April 19, 2026, 9:57 p.m.
PD Predicate disambiguation batch_69e478d4a7948190a4bb9223bb5dddfc completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:46 a.m.