Triple

T9408978
Position Surface form Disambiguated ID Type / Status
Subject Metro Line 2 at Tasqueña E226657 entity
Predicate hasInterchangeCorridor P85888 FINISHED
Object between metro platforms and Tren Ligero platforms LITERAL 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: between metro platforms and Tren Ligero platforms | Statement: [Metro Line 2 at Tasqueña, hasInterchangeCorridor, between metro platforms and Tren Ligero platforms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInterchangeCorridor
Context triple: [Metro Line 2 at Tasqueña, hasInterchangeCorridor, between metro platforms and Tren Ligero platforms]
  • A. hasInterchangesWith
    Indicates that two transportation routes, lines, or services share one or more points where passengers can transfer between them.
  • B. hasNearbyInterchange
    Indicates that one location has a transportation interchange (such as a junction or transfer point) situated close to it.
  • C. hasBusInterchange
    Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
  • D. isPartOfCorridorSystem chosen
    Indicates that one entity forms a component or segment within a larger interconnected corridor system.
  • E. isInterchangeWith
    Indicates that two entities can be substituted or exchanged for one another without loss of function, value, or compatibility.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd52547f0c81908ed4f53b9f05ebaa completed April 1, 2026, 5:13 p.m.
PD Predicate disambiguation batch_69cca54c37f88190bddccf28e5fe5c84 completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:47 p.m.