Triple

T17340015
Position Surface form Disambiguated ID Type / Status
Subject Silverliner II E421041 entity
Predicate manufacturer P490 FINISHED
Object Budd Company E202237 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: Budd Company | Statement: [Silverliner II, manufacturer, Budd Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Budd Company
Context triple: [Silverliner II, manufacturer, Budd Company]
  • A. Budd Company chosen
    Budd Company was a pioneering American manufacturer best known for its stainless-steel railroad passenger cars and other transportation equipment.
  • B. Martin Company
    Martin Company was a major American aerospace and defense contractor known for developing missiles, spacecraft, and military systems before merging into Lockheed Martin.
  • C. John Company
    John Company is a historical nickname for the British East India Company, the powerful trading corporation that played a central role in establishing British rule in India.
  • D. Bond Corporation
    Bond Corporation was a major Australian conglomerate best known for its rapid expansion and high-profile investments under businessman Alan Bond during the 1970s and 1980s.
  • E. Brown Company
    Brown Company was a historically significant pulp and paper manufacturer that played a central role in the industrial and economic development of Berlin, New Hampshire.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a14ec90819098db2ac0d58a53e1 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c588a7081909ab108cb4adfedfe completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:44 a.m.