Triple

T1754712
Position Surface form Disambiguated ID Type / Status
Subject Volkswagen Passat E38524 entity
Predicate competitor P1375 FINISHED
Object Toyota Camry E84065 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 Camry | Statement: [Volkswagen Passat, competitor, Toyota Camry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyota Camry
Context triple: [Volkswagen Passat, competitor, Toyota Camry]
  • A. Toyota Camry chosen
    The Toyota Camry is a popular mid-size sedan known for its reliability, comfort, and strong sales worldwide.
  • B. Toyota Corolla
    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.
  • C. Toyota Prius
    The Toyota Prius is a pioneering mass-market hybrid electric car renowned for its fuel efficiency and role in popularizing environmentally friendly vehicles worldwide.
  • D. 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.
  • E. Nissan Sentra
    The Nissan Sentra is a compact sedan known for its affordability, fuel efficiency, and practicality as a popular everyday commuter car.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa641841748190ad05cac4a27cced9 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e84c1c8190917edf14003cba81 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.