Triple

T812064
Position Surface form Disambiguated ID Type / Status
Subject Ram Trucks E17566 entity
Predicate brandOf P1500 FINISHED
Object Ram pickup E17566 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: Ram pickup | Statement: [Ram Trucks, brandOf, Ram pickup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ram pickup
Context triple: [Ram Trucks, brandOf, Ram pickup]
  • A. Ram Trucks chosen
    Ram Trucks is an American brand of light to heavy-duty pickup trucks and commercial vehicles known for its powerful performance and rugged design.
  • B. Ram 1500
    The Ram 1500 is a full-size light-duty pickup truck known for its strong towing capability, refined ride quality, and upscale interior features.
  • C. Humvee
    The Humvee is a rugged, high-mobility military vehicle used extensively by the U.S. armed forces and known for inspiring the civilian Hummer line.
  • D. Honda Ridgeline
    The Honda Ridgeline is a unibody midsize pickup truck known for its car-like ride, innovative in-bed trunk, and strong reliability.
  • E. Chevrolet C/K
    The Chevrolet C/K is a long-running line of full-size pickup trucks produced by General Motors from the 1960s through the late 1990s, known for their durability and popularity in both work and personal use.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab4c7418819085cb64c6bf5fa70c completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8869888190a95857546dfae5b3 completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:38 p.m.