Triple
T5404509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carowinds |
E120857
|
entity |
| Predicate | AfterburnType |
P63794
|
FINISHED |
| Object | inverted coaster |
—
|
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: inverted coaster | Statement: [Carowinds, AfterburnType, inverted coaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AfterburnType Context triple: [Carowinds, AfterburnType, inverted coaster]
-
A.
hasAfterburner
Indicates that one entity is equipped with, or possesses, an afterburner system in relation to another entity or context.
-
B.
burnType
Indicates the specific category or severity of a burn associated with an entity or event.
-
C.
underFire
Indicates that an entity is being attacked, heavily criticized, or subjected to intense pressure by another entity or group.
-
D.
burningSince
Indicates that an object or substance has been continuously burning from a specified starting time up to the present or another reference time.
-
E.
eraOfIncreasedIntensity
Indicates a period during which the level or strength of a particular activity, condition, or phenomenon becomes significantly higher than before.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8931302c81908afcb0f011e91f09 |
completed | March 20, 2026, 5:51 p.m. |
Created at: March 20, 2026, 2:05 p.m.