Triple

T8698119
Position Surface form Disambiguated ID Type / Status
Subject 3.0 L Duratec V6 E206451 entity
Predicate usedInModel P25490 FINISHED
Object Mazda Tribute E207480 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: Mazda Tribute | Statement: [3.0 L Duratec V6, usedInModel, Mazda Tribute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazda Tribute
Context triple: [3.0 L Duratec V6, usedInModel, Mazda Tribute]
  • A. Mazda Tribute chosen
    The Mazda Tribute is a compact crossover SUV produced in the early 2000s through a collaboration between Mazda and Ford, sharing its platform with the Ford Escape and Mercury Mariner.
  • B. Mazda3
    The Mazda3 is a popular compact car known for its sporty handling, stylish design, and well-appointed interior.
  • C. Mazda6
    The Mazda6 is a mid-size family sedan known for its sporty handling, stylish design, and strong value in the mainstream car market.
  • D. Mazda CX-9
    The Mazda CX-9 is a mid-size three-row crossover SUV known for its stylish design, upscale interior, and engaging driving dynamics.
  • E. Mazda2
    The Mazda2 is a subcompact car known for its agile handling, fuel efficiency, and stylish design, positioned as an affordable entry-level model in Mazda’s lineup.
  • 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58af50408190a3b81100a759795e completed March 31, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef40e7a2881909e2d7eee0d931992 completed April 2, 2026, 10:56 p.m.
Created at: March 30, 2026, 6:34 p.m.