Triple

T4232307
Position Surface form Disambiguated ID Type / Status
Subject Honda Fit E94606 entity
Predicate hasGeneration P455 FINISHED
Object first generation 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: first generation Honda Fit | Statement: [Honda Fit, hasGeneration, first generation Honda Fit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: first generation Honda Fit
Context triple: [Honda Fit, hasGeneration, first generation 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. Suzuki Alto
    The Suzuki Alto is a long-running line of compact city cars known for their affordability, fuel efficiency, and popularity in markets worldwide.
  • C. 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.
  • D. Suzuki Swift
    The Suzuki Swift is a popular subcompact hatchback car known for its nimble handling, fuel efficiency, and value-oriented pricing in global markets.
  • E. Suzuki Wagon R
    The Suzuki Wagon R is a popular Japanese kei car and compact hatchback known for its tall, boxy design that maximizes interior space and practicality in a small footprint.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e642aac8190977dd101e27afcbb completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b596516fd88190b8497ccc7efc7f49 completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:05 p.m.