Triple

T5302973
Position Surface form Disambiguated ID Type / Status
Subject NUMMI E120027 entity
Predicate notableModelProduced P1448 FINISHED
Object Toyota Tacoma E392669 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 Tacoma | Statement: [NUMMI, notableModelProduced, Toyota Tacoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyota Tacoma
Context triple: [NUMMI, notableModelProduced, Toyota Tacoma]
  • A. Toyota Tacoma chosen
    The Toyota Tacoma is a popular midsize pickup truck known for its durability, off-road capability, and strong resale value.
  • B. Toyota Tundra
    The Toyota Tundra is a full-size pickup truck known for its durability, strong towing capability, and Toyota’s reputation for reliability.
  • 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 Hilux
    The Toyota Hilux is a globally popular, highly durable pickup truck renowned for its reliability and off-road capability.
  • 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd91aab9348190a373b30bb305f933 completed March 20, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10f3b9ac81909cd2ca2278b11d3e completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:53 p.m.