Triple

T136324
Position Surface form Disambiguated ID Type / Status
Subject Chevrolet Corvette E2754 entity
Predicate nickname P55 FINISHED
Object Vette E2754 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: Vette | Statement: [Chevrolet Corvette, nickname, Vette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vette
Context triple: [Chevrolet Corvette, nickname, Vette]
  • A. Chevrolet Corvette chosen
    The Chevrolet Corvette is an iconic American sports car renowned for its high performance, distinctive styling, and long-running legacy since its debut in the 1950s.
  • B. Ford Mustang
    The Ford Mustang is an iconic American sports car known for its powerful performance, distinctive styling, and central role in popular car culture since the 1960s.
  • C. Hummer
    Hummer is a line of large, military-inspired sport utility vehicles known for their rugged off-road capability, boxy design, and high fuel consumption.
  • D. Pontiac
    Pontiac was an American automobile marque known for its performance-oriented cars and sporty image, produced by General Motors until its discontinuation in 2010.
  • E. DeSoto
    DeSoto is a suburban city in the Dallas–Fort Worth metropolitan area in North Texas.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257a4edf081908c494c8370c76b9a completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b0198e08819088752a41f4a1d488 completed Feb. 28, 2026, 9:06 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.