Triple
T12769608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLYMB Abu Dhabi |
E305209
|
entity |
| Predicate | hasSkydivingChamberHeight |
P106811
|
FINISHED |
| Object | approximately 9.75 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 9.75 meters | Statement: [CLYMB Abu Dhabi, hasSkydivingChamberHeight, approximately 9.75 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkydivingChamberHeight Context triple: [CLYMB Abu Dhabi, hasSkydivingChamberHeight, approximately 9.75 meters]
-
A.
hasSkyJumpAttraction
Indicates that an entity features or includes a sky jump attraction as one of its offerings or components.
-
B.
hasCliffJumping
Indicates that an entity offers, features, or is associated with the activity of cliff jumping.
-
C.
rideHeight
Indicates the vertical distance between a vehicle’s chassis and the ground, defining how high it sits relative to the surface.
-
D.
serviceCeilingFeet
Indicates the maximum altitude, measured in feet, at which an aircraft or vehicle can effectively operate or provide service.
-
E.
diveHeight
Indicates the vertical distance from which a dive is initiated or performed.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:28 p.m.