Triple

T13291612
Position Surface form Disambiguated ID Type / Status
Subject Jaguar XJ220 E316571 entity
Predicate 0To100KmH P45714 FINISHED
Object about 3.8 seconds LITERAL 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: about 3.8 seconds | Statement: [Jaguar XJ220, 0To100KmH, about 3.8 seconds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 0To100KmH
Context triple: [Jaguar XJ220, 0To100KmH, about 3.8 seconds]
  • A. acceleration0To100Kmh chosen
    Indicates the rate or time it takes for something to accelerate from 0 to 100 kilometers per hour.
  • B. 0-200kmhTime
    Indicates the time it takes for something, typically a vehicle, to accelerate from 0 to 200 kilometers per hour.
  • C. category1UpperBound_mph
    Indicates the maximum speed limit, in miles per hour, that defines the upper boundary of category 1.
  • D. category4UpperBound_mph
    Indicates the maximum wind speed in miles per hour that defines the upper limit of Category 4 in a classification scale.
  • E. acceleration0To60mph
    Indicates the rate or time it takes for something to increase its speed from 0 to 60 miles per hour.
  • F. None of above.

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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cfdc9388190af1fdd3cd4717bd8 completed April 11, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69d98f6893708190aeebf4c47386cff7 completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:27 p.m.