Triple

T1903510
Position Surface form Disambiguated ID Type / Status
Subject Audi E37745 entity
Predicate competitor P1375 FINISHED
Object Jaguar E80447 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: Jaguar | Statement: [Audi, competitor, Jaguar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaguar
Context triple: [Audi, competitor, Jaguar]
  • A. Jaguar chosen
    Jaguar is a British luxury car manufacturer known for its stylish design, performance-oriented vehicles, and long-standing presence in the premium automotive market.
  • B. Jaguar
    The Jaguar is a powerful, spotted big cat native to the Americas, known for its strength, stealth, and status as an apex predator.
  • C. Panther
    The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
  • D. Maxus
    Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
  • E. Lotus
    The lotus is a sacred aquatic flower widely revered in Indian culture and religion, symbolizing purity, beauty, and spiritual enlightenment.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1909aec8190b3259c8f969ce81e completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaf768888190885ffa1632537445 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:35 p.m.