Triple
T1020353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jurassic World VelociCoaster |
E22024
|
entity |
| Predicate | maxVerticalAngle |
P23303
|
FINISHED |
| Object | 80 degrees |
—
|
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: 80 degrees | Statement: [Jurassic World VelociCoaster, maxVerticalAngle, 80 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxVerticalAngle Context triple: [Jurassic World VelociCoaster, maxVerticalAngle, 80 degrees]
-
A.
maxVoltage
Indicates the maximum electrical potential (voltage) that an entity can safely or normally handle, provide, or operate at.
-
B.
verticalExtent
Indicates the total height or vertical span of an entity or region from its lowest to highest point.
-
C.
maxCurrent
Indicates the maximum electric current that is allowed to flow through or be drawn by an entity under specified conditions.
-
D.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
E.
maximumReach
Indicates the greatest extent, distance, or limit that something can reach or influence within a given context.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7dd76b081909ed4d2f7adb6480d |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b724c7908190a5b92a57fbdbff4e |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7bd3d50819091e6f1d2ffe4c7ee |
completed | March 1, 2026, 10:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.