Triple

T267669
Position Surface form Disambiguated ID Type / Status
Subject Midland Hotel, Manchester E5766 entity
Predicate nearAirport P350 FINISHED
Object Manchester Airport E906 NE FINISHED

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: Manchester Airport | Statement: [Midland Hotel, Manchester, nearAirport, Manchester Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manchester Airport
Context triple: [Midland Hotel, Manchester, nearAirport, Manchester Airport]
  • A. Manchester Airport chosen
    Manchester Airport is a major international airport in North West England serving the Greater Manchester region and acting as a key hub for domestic and global flights.
  • B. Luton Airport
    Luton Airport is a major international airport north of London that serves as a key hub for low-cost airlines and short-haul European flights.
  • C. Southend Airport
    Southend Airport is a regional international airport in Essex, England, serving the London area with passenger and cargo flights.
  • D. Gatwick Airport
    Gatwick Airport is a major international airport serving the London area and is one of the busiest airports in the United Kingdom.
  • E. Stansted Airport
    Stansted Airport is a major international airport serving the London area, particularly known as a hub for low-cost and European short-haul flights.
  • 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: nearAirport
Context triple: [Midland Hotel, Manchester, nearAirport, Manchester Airport]
  • A. near chosen
    Indicates that one entity is located at a short distance from another entity in space or position.
  • B. airportServed
    Indicates that a particular airport provides service to, or is used for air travel to and from, a given location or area.
  • C. airportLocatedIn
    Indicates that an airport is geographically situated within a specific administrative or territorial area.
  • D. otherRegionalAirports
    Indicates that the entities are airports located in different regions from each other but considered as alternative or comparable regional airports.
  • E. passesNearCity
    Indicates that the path, route, or trajectory of one entity goes close to, but not necessarily through, a specified city.
  • F. None of above.

Provenance (4 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_69a2587daeb081909591b9d30f80a271 completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25dacf60c8190a5c3ef455b9a8b20 completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38b9082b8819099cd5e7fe3c7335f completed March 1, 2026, 12:42 a.m.
PD Predicate disambiguation batch_69a25b70d99c819085d8381a313a2a34 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:56 a.m.