Triple
T12949020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miramar Entertainment Park |
E309840
|
entity |
| Predicate | rooftopFerrisWheelDiameter |
P22940
|
FINISHED |
| Object | approximately 70 meters |
—
|
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: approximately 70 meters | Statement: [Miramar Entertainment Park, rooftopFerrisWheelDiameter, approximately 70 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rooftopFerrisWheelDiameter Context triple: [Miramar Entertainment Park, rooftopFerrisWheelDiameter, approximately 70 meters]
-
A.
rideHeight
Indicates the vertical distance between a vehicle’s chassis and the ground, defining how high it sits relative to the surface.
-
B.
rotorDiameter
chosen
Indicates the relationship where a rotor is associated with a specific measurement representing the diameter of its circular span.
-
C.
ferrisWheelColor
Indicates the color or colors associated with a particular Ferris wheel.
-
D.
revolvingRestaurantHeight
Indicates the height at which a revolving restaurant is situated, typically measured from ground level or sea level.
-
E.
diameterOfDome
Indicates the measurement of the dome’s diameter as a geometric property of that dome.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.