Triple

T772173
Position Surface form Disambiguated ID Type / Status
Subject Honda E16304 entity
Predicate notableModel P1503 FINISHED
Object Honda HR-V
The Honda HR-V is a subcompact crossover SUV known for its versatile interior, efficient performance, and practicality for urban and family use.
E95739 NE FINISHED

How this triple was built (4 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 HR-V | Statement: [Honda, notableModel, Honda HR-V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honda HR-V
Context triple: [Honda, notableModel, Honda HR-V]
  • A. Honda CR-V
    The Honda CR-V is a popular compact crossover SUV known for its reliability, practicality, and family-friendly design.
  • 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 Fit
    The Honda Fit is a subcompact hatchback known for its exceptional interior space, fuel efficiency, and versatile “Magic Seat” rear seating system.
  • D. Honda Pilot
    The Honda Pilot is a midsize three-row crossover SUV known for its family-friendly interior, reliability, and comfortable ride.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Honda HR-V
Triple: [Honda, notableModel, Honda HR-V]
Generated description
The Honda HR-V is a subcompact crossover SUV known for its versatile interior, efficient performance, and practicality for urban and family use.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Honda HR-V
Target entity description: The Honda HR-V is a subcompact crossover SUV known for its versatile interior, efficient performance, and practicality for urban and family use.
  • A. Honda CR-V
    The Honda CR-V is a popular compact crossover SUV known for its reliability, practicality, and family-friendly design.
  • 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 Fit
    The Honda Fit is a subcompact hatchback known for its exceptional interior space, fuel efficiency, and versatile “Magic Seat” rear seating system.
  • D. Honda Pilot
    The Honda Pilot is a midsize three-row crossover SUV known for its family-friendly interior, reliability, and comfortable ride.
  • 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. chosen

Provenance (5 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a706abf88190a1cbc2dfbbf9968a completed March 1, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6891fb80481909ed2ce30789c945e completed March 3, 2026, 7:09 a.m.
NEDg Description generation batch_69a6dcb16cf4819084f28de3328a0073 completed March 3, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_69a75e9333e48190914827eb0267abd0 completed March 3, 2026, 10:20 p.m.
Created at: March 1, 2026, 7:37 p.m.