Triple

T2988969
Position Surface form Disambiguated ID Type / Status
Subject We Are Professional Grade E80697 entity
Predicate sloganFor P7688 FINISHED
Object GMC truck lineup E11255 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: GMC truck lineup | Statement: [We Are Professional Grade, sloganFor, GMC truck lineup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GMC truck lineup
Context triple: [We Are Professional Grade, sloganFor, GMC truck lineup]
  • A. GM Truck and Coach
    GM Truck and Coach was General Motors’ division responsible for designing and manufacturing commercial trucks and transit buses, widely used across North America in the mid-20th century.
  • B. GMC chosen
    GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
  • C. GMC
    GMC is the commonly used abbreviation for the Great Midwest Conference, a former NCAA collegiate athletic conference in the United States.
  • D. GMC
    GMC is the independent regulatory body that oversees medical education and professional standards for doctors in the United Kingdom.
  • E. GMC Sierra
    The GMC Sierra is a full-size pickup truck known for its powerful performance, upscale features, and role as one of General Motors’ flagship trucks.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99dcdb00819092ca5f10396408e0 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b10900bf2481908b7742604c6d75e9 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:59 p.m.