Triple

T759263
Position Surface form Disambiguated ID Type / Status
Subject Maryland Area Regional Commuter E16028 entity
Predicate usesRollingStockFrom P5426 FINISHED
Object Bombardier E97324 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: Bombardier | Statement: [Maryland Area Regional Commuter, usesRollingStockFrom, Bombardier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bombardier
Context triple: [Maryland Area Regional Commuter, usesRollingStockFrom, Bombardier]
  • A. Bombardier chosen
    Bombardier is a major Canadian manufacturer of trains and rail equipment widely used by transit agencies around the world.
  • B. Embraer
    Embraer is a Brazilian aerospace company best known globally for designing and manufacturing regional and business jets used by airlines and operators worldwide.
  • C. Bombardier Voyager family
    The Bombardier Voyager family is a series of high-speed diesel-electric multiple unit trains used for intercity passenger services in the United Kingdom.
  • D. Airbus
    Airbus is a major European aerospace corporation known for designing and manufacturing commercial airliners such as the A320, A330, and A380 families.
  • E. McDonnell Douglas
    McDonnell Douglas was a major American aerospace manufacturer and defense contractor known for producing commercial airliners and military aircraft before merging with Boeing in 1997.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9cecd08190a23c9f65080a4ac7 completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3adf1d88190acec593f0aca1ec0 completed March 4, 2026, 3:14 a.m.
Created at: March 1, 2026, 7:37 p.m.