Triple

T6159675
Position Surface form Disambiguated ID Type / Status
Subject A-Model Ford E137408 entity
Predicate alsoKnownAs P39 FINISHED
Object Model A E137408 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: Model A | Statement: [A-Model Ford, alsoKnownAs, Model A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Model A
Context triple: [A-Model Ford, alsoKnownAs, Model A]
  • A. Modell
    Modell is the surname of Art Modell, the influential former owner of the NFL’s Cleveland Browns and Baltimore Ravens.
  • B. A500
    A500 is the common shorthand for the Commodore Amiga 500, a popular late-1980s home computer known for its advanced graphics and sound capabilities.
  • C. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • D. A-Model Ford chosen
    A-Model Ford is the common name for Ford's late-1920s Model A automobile, a popular successor to the Model T known for its improved performance and modern styling.
  • E. Maxwell Model L
    The Maxwell Model L was an early 20th-century passenger car produced by the Maxwell Motor Company, known as one of the brand’s representative pre-World War I models.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d3445dc8190822954cee90f0dd7 completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1419064a48190880005459c86322c completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.