Triple

T687622
Position Surface form Disambiguated ID Type / Status
Subject Pentagon station E13317 entity
Predicate servedBy P82 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: [Pentagon station, servedBy, Metrobus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metrobus
Context triple: [Pentagon station, servedBy, 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0953fb481909e1d4177ee191351 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dca352248190a3e1b4e4c58a1e7f completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.