Triple

T16181800
Position Surface form Disambiguated ID Type / Status
Subject Toyota Yaris E392698 entity
Predicate competitor P1375 FINISHED
Object Honda Fit E94606 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: Honda Fit | Statement: [Toyota Yaris, competitor, Honda Fit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honda Fit
Context triple: [Toyota Yaris, competitor, Honda Fit]
  • A. Honda Fit chosen
    The Honda Fit is a subcompact hatchback known for its exceptional interior space, fuel efficiency, and versatile “Magic Seat” rear seating system.
  • B. Honda Civic
    The Honda Civic is a popular compact car known for its reliability, fuel efficiency, and long-standing presence in Honda’s global lineup.
  • C. Honda Pilot
    The Honda Pilot is a midsize three-row crossover SUV known for its family-friendly interior, reliability, and comfortable ride.
  • D. Baleno
    Baleno is a coastal municipality in the province of Masbate in the Philippines, known for its rural communities and fishing-based local economy.
  • E. Honda Accord
    The Honda Accord is a popular mid-size car known for its reliability, fuel efficiency, and long-standing presence in the global automotive market.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205d858c8190802d44e08e3cdcd6 completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0022148190bc1810e76cf6d994 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.