Triple
T35163538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Accelerator Coaster |
E1015331
|
entity |
| Predicate | accelerationRange |
P182349
|
FINISHED |
| Object | 0 to top speed in a few 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: 0 to top speed in a few seconds | Statement: [Accelerator Coaster, accelerationRange, 0 to top speed in a few seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accelerationRange Context triple: [Accelerator Coaster, accelerationRange, 0 to top speed in a few seconds]
-
A.
governingSpeedRange
Indicates the range of speeds within which a governing or limiting mechanism is intended to operate or apply.
-
B.
accelerationThreshold
Indicates a condition where an entity’s acceleration reaches or exceeds a specified limit that triggers a particular response or state.
-
C.
acceleration0To100Kmh
Indicates the rate or time it takes for something to accelerate from 0 to 100 kilometers per hour.
-
D.
acceleration0To60mph
Indicates the rate or time it takes for something to increase its speed from 0 to 60 miles per hour.
-
E.
acceleration0To300kmh
Indicates the rate or time it takes for something to increase its speed from 0 to 300 kilometers per hour.
- F. None of above. chosen
Provenance (4 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_69f76ddbfde081908bffc91572368289 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78d2ebc2881909d76e154524ec6e6 |
completed | May 3, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c337cec8190bfdab225a3cc96db |
completed | May 3, 2026, 5:56 p.m. |
Created at: May 3, 2026, 4:02 p.m.