Triple

T36756370
Position Surface form Disambiguated ID Type / Status
Subject Ford Escort RS Cosworth E908062 entity
Predicate 0-100kmh P45714 FINISHED
Object around 5.7 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: around 5.7 seconds | Statement: [Ford Escort RS Cosworth, 0-100kmh, around 5.7 seconds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 0-100kmh
Context triple: [Ford Escort RS Cosworth, 0-100kmh, around 5.7 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. acceleration0To300kmh
    Indicates the rate or time it takes for something to increase its speed from 0 to 300 kilometers per hour.
  • D. governingSpeedRange
    Indicates the range of speeds within which a governing or limiting mechanism is intended to operate or apply.
  • 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_69f76e779bec8190be0e1f87a131e0f4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c9f5a8848190ba956ff27f44e396 completed May 3, 2026, 10:19 p.m.
PD Predicate disambiguation batch_69f7c8999a348190abc1895eaa6e036d completed May 3, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:12 p.m.