Triple
T5404508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carowinds |
E120857
|
entity |
| Predicate | IntimidatorType |
P63793
|
FINISHED |
| Object | hyper 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: hyper coaster | Statement: [Carowinds, IntimidatorType, hyper coaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IntimidatorType Context triple: [Carowinds, IntimidatorType, hyper coaster]
-
A.
enemyType
Indicates that one entity is classified as an enemy of a specified type or category in relation to another entity.
-
B.
attackerStrength
Indicates the level or magnitude of power, force, or capability possessed by the attacking entity in a given interaction or scenario.
-
C.
primaryAntagonistType
Indicates the role or category of the main opposing force or adversary that serves as the central source of conflict.
-
D.
isIntense
Indicates that something exhibits a high degree of strength, force, or concentration in its quality, effect, or activity.
-
E.
typeOfBravery
Indicates a specific kind or category of bravery that characterizes an entity’s courageous behavior or action.
- 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.