Triple

T13525660
Position Surface form Disambiguated ID Type / Status
Subject GR E323010 entity
Predicate associatedModel P97305 FINISHED
Object Toyota GR Corolla E83490 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: Toyota GR Corolla | Statement: [GR, associatedModel, Toyota GR Corolla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyota GR Corolla
Context triple: [GR, associatedModel, Toyota GR Corolla]
  • A. Toyota Corolla chosen
    The Toyota Corolla is a compact car renowned worldwide for its reliability, fuel efficiency, and status as one of the best-selling automobiles in history.
  • B. Toyota Camry
    The Toyota Camry is a popular mid-size sedan known for its reliability, comfort, and strong sales worldwide.
  • C. Toyota Celica
    The Toyota Celica is a compact sport coupe produced by Toyota from 1970 to 2006, known for its stylish design, affordability, and success in motorsport, particularly in rally racing.
  • D. Toyota Corona
    The Toyota Corona is a compact and later mid-size car produced by Toyota from the 1950s through the 1980s, known for its reliability and role in expanding Toyota’s presence in global markets.
  • E. Toyota Auris
    The Toyota Auris is a compact hatchback car produced by Toyota, known for its practicality, reliability, and availability with efficient petrol, diesel, and hybrid powertrains.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa6ad60819087824e4ac83934ed completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d93a2608190a3a693bf4086a010 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.