Triple

T12442590
Position Surface form Disambiguated ID Type / Status
Subject Buendia station E297312 entity
Predicate adjacentStationPrevious P66132 FINISHED
Object Guadalupe station E288469 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: Guadalupe station | Statement: [Buendia station, adjacentStationPrevious, Guadalupe station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guadalupe station
Context triple: [Buendia station, adjacentStationPrevious, Guadalupe station]
  • A. Guadalupe station
    Guadalupe station is a passenger rail station in Guadalupe, California, serving as a local stop on regional commuter and intercity rail services.
  • B. Guadalupe station chosen
    Guadalupe station is an elevated rapid transit stop on Manila's MRT Line 3 serving the Guadalupe area in Makati, Philippines.
  • C. Buenavista station
    Buenavista station is a major Mexico City Metro terminal and transport hub located in the Buenavista area, connecting metro services with commuter rail and other transit options.
  • D. Catalinas station
    Catalinas station is a stop on Buenos Aires’ Line E underground, serving the Catalinas area in the city’s central business district.
  • E. San Carlos station
    San Carlos station is a commuter rail station in San Carlos, California, serving Caltrain passengers on the San Francisco Peninsula.
  • 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: adjacentStationPrevious
Context triple: [Buendia station, adjacentStationPrevious, Guadalupe station]
  • A. precedingStation chosen
    Indicates that one station is located immediately before another station in a route or sequence.
  • B. adjacentStationFormerly
    Indicates that two stations were directly adjacent to each other in the past, but are no longer adjacent in the current network configuration.
  • C. adjacentStationWest
    Indicates that one station is immediately to the west of another station in a spatial or network layout.
  • D. adjacentStationOnLine
    Indicates that one station is directly next to another station along the same transit line, with no other station in between.
  • E. adjacentStationOnLine2
    Indicates that one station is directly next to another station along line 2 in a transit or rail network.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95151e7348190a1d4953a8b416a13 completed April 10, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b9d34848190b02311ada2572440 completed May 2, 2026, 7:08 p.m.
PD Predicate disambiguation batch_69d94d3c27a08190a0237200203e476d completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:55 p.m.