Triple

T9612482
Position Surface form Disambiguated ID Type / Status
Subject MTPD E232135 entity
Predicate jurisdictionOver P808 FINISHED
Object Metrobus
Metrobus is a public bus transit system serving the Washington, D.C. metropolitan area as part of the region’s broader Metro network.
 E5403 NE FINISHED

How this triple was built (4 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: [MTPD, jurisdictionOver, Metrobus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Metrobus
Context triple: [MTPD, jurisdictionOver, Metrobus]
  • A. Metrobus
    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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Metrobus
Triple: [MTPD, jurisdictionOver, Metrobus]
Generated description
Metrobus is a public bus transit system serving the Washington, D.C. metropolitan area as part of the region’s broader Metro network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Metrobus
Target entity description: Metrobus is a public bus transit system serving the Washington, D.C. metropolitan area as part of the region’s broader Metro network.
  • 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.

Provenance (5 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a8885f88190887843e0fb32a5f3 completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17958287081908e337bdbe9ea366f completed April 4, 2026, 8:49 p.m.
NEDg Description generation batch_69d17d9d69908190879b160968e41745 completed April 4, 2026, 9:07 p.m.
NED2 Entity disambiguation (via description) batch_69d17e4c9e40819081367d2365bf5dd2 completed April 4, 2026, 9:10 p.m.
Created at: March 30, 2026, 8:09 p.m.