Triple

T18139158
Position Surface form Disambiguated ID Type / Status
Subject Ram dealerships E434214 entity
Predicate market P1743 FINISHED
Object Ram 2500 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: Ram 2500 | Statement: [Ram dealerships, market, Ram 2500]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ram 2500
Context triple: [Ram dealerships, market, Ram 2500]
  • A. Ram 2500 chosen
    The Ram 2500 is a heavy-duty full-size pickup truck known for its strong towing and hauling capabilities, offered by Ram Trucks for work and recreational use.
  • B. Ram 3500
    The Ram 3500 is a heavy-duty full-size pickup truck known for its powerful towing and hauling capabilities, offered under the Ram Trucks brand.
  • C. Ram Trucks
    Ram Trucks is an American brand of light to heavy-duty pickup trucks and commercial vehicles known for its powerful performance and rugged design.
  • D. Nissan Titan
    The Nissan Titan is a full-size pickup truck produced by Nissan, designed primarily for the North American market and known for its powerful V8 engines and work-focused capability.
  • E. GMC Vandura
    The GMC Vandura is a full-size American van produced by General Motors, popular for commercial use, customization, and its iconic appearance in the TV series "The A-Team."
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0993e88190b19c5cb35a6d252d completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.