Triple

T623676
Position Surface form Disambiguated ID Type / Status
Subject Deansgate-Castlefield tram stop E14566 entity
Predicate line P1293 FINISHED
Object Airport line E5769 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: Airport line | Statement: [Deansgate-Castlefield tram stop, line, Airport line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airport line
Context triple: [Deansgate-Castlefield tram stop, line, Airport line]
  • A. Airport Line chosen
    The Airport Line is a Manchester Metrolink light rail route that connects central Manchester with Manchester Airport, serving key suburbs and transport interchanges along the way.
  • B. Airport Line
    Airport Line is a SEPTA Regional Rail service in the Philadelphia area that connects Center City with Philadelphia International Airport.
  • C. International Terminal
    The International Terminal at San Francisco International Airport is a major global gateway facility that handles the airport’s international flights and houses customs, immigration, and airline operations for overseas travel.
  • D. Aeropuerto T2
    Aeropuerto T2 is a Metrobús station in Mexico City that serves Terminal 2 of the city’s international airport.
  • E. CNN Airport Network
    CNN Airport Network was a specialized television channel from CNN that provided curated news, weather, and travel-related programming exclusively to airport terminals across the United States.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e41753881909f0faed720cc31bc completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a567012e9c81909d502e29fff35750 completed March 2, 2026, 10:31 a.m.
Created at: March 1, 2026, 7:35 p.m.