Triple
T4103482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Island in Pigeon Forge |
E88393
|
entity |
| Predicate | wheelHeight |
P51261
|
FINISHED |
| Object | approximately 200 feet |
—
|
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 200 feet | Statement: [The Island in Pigeon Forge, wheelHeight, approximately 200 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wheelHeight Context triple: [The Island in Pigeon Forge, wheelHeight, approximately 200 feet]
-
A.
wheelHeightApprox
chosen
Indicates that the height of a wheel is approximately equal to a specified value or to the height of another wheel.
-
B.
wheelDiameter
Indicates the size of a wheel measured across its diameter.
-
C.
carHeight
Indicates the vertical measurement or clearance height of a car.
-
D.
formerWheelDiameter
Indicates that one entity was previously the wheel diameter of another entity, but is no longer its current wheel diameter.
-
E.
wheelbase
Indicates the distance between the centers of the front and rear wheels of a vehicle.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd116dac8190952cb2ddf63216ec |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90b2ef08190ae84febfd69dd48b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:40 p.m.