Triple
T12769594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLYMB Abu Dhabi |
E305209
|
entity |
| Predicate | hasIndoorSkydivingChamber |
P94573
|
FINISHED |
| Object | CLYMB Abu Dhabi flight chamber |
—
|
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: CLYMB Abu Dhabi flight chamber | Statement: [CLYMB Abu Dhabi, hasIndoorSkydivingChamber, CLYMB Abu Dhabi flight chamber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndoorSkydivingChamber Context triple: [CLYMB Abu Dhabi, hasIndoorSkydivingChamber, CLYMB Abu Dhabi flight chamber]
-
A.
isOutdoorFacility
Indicates that a facility is located outdoors or primarily functions in an open-air environment.
-
B.
hasSkyJumpAttraction
Indicates that an entity features or includes a sky jump attraction as one of its offerings or components.
-
C.
hasIndoorStage
Indicates that a venue or location includes an indoor stage area suitable for performances or presentations.
-
D.
hasCliffJumping
Indicates that an entity offers, features, or is associated with the activity of cliff jumping.
-
E.
hasIndoorType
chosen
Indicates that an entity is associated with a specific type or category of indoor environment or indoor feature.
- 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_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. |
Created at: April 9, 2026, 5:28 p.m.