Triple

T4899822
Position Surface form Disambiguated ID Type / Status
Subject Ride On E109770 entity
Predicate connectsWith P37 FINISHED
Object Metrobus E5403 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: Metrobus | Statement: [Ride On, connectsWith, Metrobus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metrobus
Context triple: [Ride On, connectsWith, Metrobus]
  • A. Metrobus
    Metrobus is Miami-Dade County’s primary public bus system, providing extensive local and regional transit service throughout the Greater Miami area.
  • B. Metrobus chosen
    Metrobus is the public bus transit system serving the Washington, D.C. metropolitan area, operated alongside the Metrorail network by the Washington Metropolitan Area Transit Authority (WMATA).
  • C. Metro Bus
    Metro Bus is the primary public bus service network for Los Angeles County, providing extensive local and rapid transit across the region.
  • D. Metrobus Line 5
    Metrobus Line 5 is a bus rapid transit route in Mexico City that serves the borough of Venustiano Carranza and connects it with other key areas of the city.
  • E. Metrobus Line 4
    Metrobus Line 4 is a Mexico City Metrobús bus rapid transit route that serves central areas including the Venustiano Carranza borough and provides key connections to the city’s historic center and airport.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e4c9a788190aaceec00d0057143 completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fcda9748190a5101aed11ae14a8 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.