Triple

T2978191
Position Surface form Disambiguated ID Type / Status
Subject Jaguar E80447 entity
Predicate notableModel P1503 FINISHED
Object Jaguar XE E314933 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 XE | Statement: [Jaguar, notableModel, Jaguar XE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaguar XE
Context triple: [Jaguar, notableModel, Jaguar XE]
  • A. Jaguar XE chosen
    The Jaguar XE is a compact luxury sports sedan known for its agile handling, sleek design, and British refinement, positioned to rival German models in its class.
  • B. Jaguar F-Type
    The Jaguar F-Type is a luxury British sports car known for its sleek design, powerful performance, and distinctive exhaust note.
  • C. Jaguar XJ
    The Jaguar XJ is a line of full-size luxury sedans known for their elegant British styling, refined performance, and long-standing flagship status in Jaguar’s lineup.
  • D. Jaguar F-Pace
    The Jaguar F-Pace is a luxury performance SUV that combines sporty handling with upscale design and practicality.
  • E. Jaguar E-Pace
    The Jaguar E-Pace is a compact luxury crossover SUV that combines sporty performance with upscale design and technology.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999b0d50819093dac7678b887a9b completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de9657648190a7f0309065f80728 completed March 11, 2026, 9:28 p.m.
Created at: March 8, 2026, 2:58 p.m.