Triple

T17072347
Position Surface form Disambiguated ID Type / Status
Subject Hyundai Santa Fe E414252 entity
Predicate competitor P1375 FINISHED
Object Honda CR-V E93974 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 CR-V | Statement: [Hyundai Santa Fe, competitor, Honda CR-V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honda CR-V
Context triple: [Hyundai Santa Fe, competitor, Honda CR-V]
  • A. Honda CR-V chosen
    The Honda CR-V is a popular compact crossover SUV known for its reliability, practicality, and family-friendly design.
  • B. 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.
  • C. Honda Pilot
    The Honda Pilot is a midsize three-row crossover SUV known for its family-friendly interior, reliability, and comfortable ride.
  • D. Honda ZR-V
    The Honda ZR-V is a compact crossover SUV positioned between the HR-V and CR-V, offering a more premium, dynamically styled alternative in Honda’s global lineup.
  • E. 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.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc1b7d48190979a848b4188cb22 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012edbce988190a784448ba8a258a5 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.