Triple

T30791671
Position Surface form Disambiguated ID Type / Status
Subject Porsche 911 GT2 (997) E784113 entity
Predicate 0-62_mph P8445 FINISHED
Object 3.7 s 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: 3.7 s | Statement: [Porsche 911 GT2 (997), 0-62_mph, 3.7 s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 0-62_mph
Context triple: [Porsche 911 GT2 (997), 0-62_mph, 3.7 s]
  • A. governingSpeedRange
    Indicates the range of speeds within which a governing or limiting mechanism is intended to operate or apply.
  • B. acceleration0To60mph chosen
    Indicates the rate or time it takes for something to increase its speed from 0 to 60 miles per hour.
  • C. category1UpperBound_mph
    Indicates the maximum speed limit, in miles per hour, that defines the upper boundary of category 1.
  • D. category2UpperBound_mph
    Indicates the maximum speed in miles per hour that defines the upper limit of category 2 in a categorized range or scale.
  • E. category4UpperBound_mph
    Indicates the maximum wind speed in miles per hour that defines the upper limit of Category 4 in a classification scale.
  • 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_69f224b2e2a48190b19aa43db9da5b67 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6900dbd908190baf39dd5cf37d619 completed May 3, 2026, midnight
PD Predicate disambiguation batch_69f686140aa08190a35f62572b2db9b6 completed May 2, 2026, 11:17 p.m.
Created at: April 29, 2026, 8:42 p.m.