Triple

T19034465
Position Surface form Disambiguated ID Type / Status
Subject Hangares station E465828 entity
Predicate precedingStationOnLine5 P66132 FINISHED
Object Terminal Aérea station 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: Terminal Aérea station | Statement: [Hangares station, precedingStationOnLine5, Terminal Aérea station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal Aérea station
Context triple: [Hangares station, precedingStationOnLine5, Terminal Aérea station]
  • A. Airport Terminal A station
    Airport Terminal A station is a metro/rail transit stop serving Terminal A of an airport on the Airport Line, providing direct access between the terminal and the wider rail network.
  • B. Flughafen station
    Flughafen station is the Nuremberg U-Bahn station that serves Nuremberg Airport as the terminus of line U2.
  • C. Airport Station
    Airport Station is a Shenzhen Metro rapid transit station serving Shenzhen Bao'an International Airport on Line 11.
  • D. Terminal Aérea metro station chosen
    Terminal Aérea metro station is a Mexico City Metro station on Line 5 that serves the Mexico City International Airport’s Terminal 1 area.
  • E. Aeropuerto station
    Aeropuerto station is a Panama Metro Line 2 station that serves as the main rapid transit access point to Tocumen International Airport in Panama City.
  • 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: precedingStationOnLine5
Context triple: [Hangares station, precedingStationOnLine5, Terminal Aérea station]
  • A. precedingStationOnLine4
    Indicates that one station is immediately before another station in the ordered sequence of stops on transit line 4.
  • B. precededByStationOnLine5
    Indicates that one station directly comes before another station in the ordered sequence of stations on line 5.
  • C. precedingStationOnLine2
    Indicates that one station is immediately before another station along the sequence of stops on transit line 2.
  • D. precedingStationOnLine10
    Indicates that one station is immediately before another station along the route of line 10.
  • E. precedingStation chosen
    Indicates that one station is located immediately before another station in a route or sequence.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d74295b88190b1c4621735a06223 completed April 20, 2026, 7:35 a.m.
PD Predicate disambiguation batch_69e4a3001e388190aa6057266514e75a completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 12:02 p.m.