Triple

T7919558
Position Surface form Disambiguated ID Type / Status
Subject TheBus (Prince George's County) E183911 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: [TheBus (Prince George's County), connectsWith, Metrobus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metrobus
Context triple: [TheBus (Prince George's County), connectsWith, Metrobus]
  • A. 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).
  • B. Metrobus
    Metrobus is Miami-Dade County’s primary public bus system, providing extensive local and regional transit service throughout the Greater Miami area.
  • C. Metrobus
    Metrobus is a British bus operator providing local and regional bus services, primarily in Southeast England.
  • D. Metrobus
    Metrobus is Istanbul’s bus rapid transit system that runs on dedicated lanes to provide fast, high-capacity public transportation across the city.
  • E. Metrobus
    Metrobus is Istanbul’s dedicated bus rapid transit system that runs on exclusive lanes to provide fast, high-capacity public transportation across the city.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a9173548190a04889726f7b251f completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc563cb0a081909ed43ff45a8a1fa0 completed March 31, 2026, 11:18 p.m.
Created at: March 30, 2026, 5:05 p.m.