Triple

T3691668
Position Surface form Disambiguated ID Type / Status
Subject Ram 1500 E78356 entity
Predicate competitor P1375 FINISHED
Object Toyota Tundra E15807 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: Toyota Tundra | Statement: [Ram 1500, competitor, Toyota Tundra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyota Tundra
Context triple: [Ram 1500, competitor, Toyota Tundra]
  • A. Toyota Tundra chosen
    The Toyota Tundra is a full-size pickup truck known for its durability, strong towing capability, and Toyota’s reputation for reliability.
  • B. 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.
  • C. Toyota T100
    The Toyota T100 is a full-size pickup truck produced by Toyota in the 1990s that served as the brand’s early entry into the North American full-size truck market.
  • D. Toyota Sequoia
    The Toyota Sequoia is a full-size SUV produced by Toyota, known for its spacious three-row interior, strong towing capability, and truck-based durability.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4e783a88190b2837a68b8723a25 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdeee0488190b59e24f8ad48ad5e completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:26 p.m.