Triple

T23176589
Position Surface form Disambiguated ID Type / Status
Subject New York Motorama E579020 entity
Predicate partOf P40 FINISHED
Object GM Motorama NE NERFINISHED

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: GM Motorama | Statement: [New York Motorama, partOf, GM Motorama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GM Motorama
Context triple: [New York Motorama, partOf, GM Motorama]
  • A. GM Motorama chosen
    GM Motorama was General Motors’ traveling auto show of the 1950s that showcased futuristic concept cars and new production models to the public.
  • B. Austin Motor Company
    Austin Motor Company was a major British automobile manufacturer best known for producing popular mass-market cars throughout the early to mid-20th century.
  • C. White Motor Company
    White Motor Company was a prominent American manufacturer best known for producing trucks, buses, and heavy-duty commercial vehicles throughout much of the 20th century.
  • D. Holden Motor Body Builders
    Holden Motor Body Builders was an Australian coachbuilding company that evolved into the automotive manufacturing business later known simply as Holden.
  • E. Edsel automobile
    The Edsel automobile was a short-lived and commercially unsuccessful car brand produced by Ford in the late 1950s, now remembered as a classic example of a major marketing failure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6b823c8190a2d39c54e48a1001 completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:04 p.m.