Triple

T10092285
Position Surface form Disambiguated ID Type / Status
Subject Ford F-150 Tremor E215370 entity
Predicate competesWith P1375 FINISHED
Object Ram 1500 Rebel E78356 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 1500 Rebel | Statement: [Ford F-150 Tremor, competesWith, Ram 1500 Rebel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ram 1500 Rebel
Context triple: [Ford F-150 Tremor, competesWith, Ram 1500 Rebel]
  • A. Ram 1500 chosen
    The Ram 1500 is a full-size light-duty pickup truck known for its strong towing capability, refined ride quality, and upscale interior features.
  • B. Ram 2500
    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.
  • C. Jeep Gladiator
    The Jeep Gladiator is a midsize pickup truck that combines Jeep’s off-road capability and open-air design with a functional cargo bed.
  • D. 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.
  • E. Honda Ridgeline
    The Honda Ridgeline is a unibody midsize pickup truck known for its car-like ride, innovative in-bed trunk, and strong reliability.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05c3c0c8190927580717429a4e5 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6aecc488190a9af098f687327ed completed April 5, 2026, 7:23 p.m.
Created at: March 30, 2026, 9:01 p.m.