Triple

T1959830
Position Surface form Disambiguated ID Type / Status
Subject Line 2 (Mexico City Metrobús) E42356 entity
Predicate isUrbanTransit P32065 FINISHED
Object true 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: true | Statement: [Line 2 (Mexico City Metrobús), isUrbanTransit, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isUrbanTransit
Context triple: [Line 2 (Mexico City Metrobús), isUrbanTransit, true]
  • A. hasFormOfPublicTransit
    Indicates that one entity provides or is associated with a particular type or mode of public transportation for another entity or context.
  • B. rapidTransitSystem chosen
    Indicates a transportation relationship where people or goods are moved via a high-capacity, high-frequency public transit system designed for rapid travel over urban or regional routes.
  • C. hasPublicTransitRole
    Indicates that an entity holds a specific functional role or responsibility within a public transit system.
  • D. isPublicTransportRoute
    Indicates that a given route is designated and operated as part of a public transportation system available for general use.
  • E. appliesToTransitSystem
    Indicates that something (such as a rule, policy, feature, or condition) is relevant or applicable to a particular transit or transportation system.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb68a8e608190bc37a85913b3cd44 completed March 7, 2026, 5:24 a.m.
PD Predicate disambiguation batch_69abaff5dbd48190a9d36ca60de151db completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.