Triple

T7217947
Position Surface form Disambiguated ID Type / Status
Subject Toyota RAV4 E150182 entity
Predicate competitor P1375 FINISHED
Object Ford Escape E149390 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: Ford Escape | Statement: [Toyota RAV4, competitor, Ford Escape]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford Escape
Context triple: [Toyota RAV4, competitor, Ford Escape]
  • A. Ford Escape chosen
    The Ford Escape is a compact crossover SUV produced by Ford, known for its family-friendly practicality, car-like handling, and broad range of engine and technology options.
  • B. Ford Fusion
    The Ford Fusion is a mid-size sedan produced by Ford, known for its mainstream appeal, fuel-efficient powertrains, and role as one of the brand’s core passenger cars in the 2000s and 2010s.
  • C. Ford Explorer
    The Ford Explorer is a popular mid-size sport utility vehicle (SUV) known for its family-friendly design, versatility, and long-standing presence in the North American market.
  • D. Ford Focus
    The Ford Focus is a popular compact car known for its agile handling, practicality, and strong sales in global markets.
  • E. Ford Expedition
    The Ford Expedition is a full-size SUV produced by Ford, known for its three-row seating, strong towing capability, and family-oriented utility.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e99170d88190b1aef326a7d81134 completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbfb46388190992cc98039e71748 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:53 p.m.