Triple
T15916105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney Springs Aerophile Balloon |
E385973
|
entity |
| Predicate | balloonType |
P120516
|
FINISHED |
| Object | aerostat |
—
|
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: aerostat | Statement: [Disney Springs Aerophile Balloon, balloonType, aerostat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: balloonType Context triple: [Disney Springs Aerophile Balloon, balloonType, aerostat]
-
A.
ballType
Indicates the specific category or kind of ball associated with an entity.
-
B.
rebounderType
Indicates the specific role or category of a participant in a rebounding action or relationship.
-
C.
typeOfGift
Indicates the specific kind or category of gift involved in a giving or gifting relationship.
-
D.
coneType
Indicates the specific category or style of cone associated with an entity (e.g., type, shape, or design of the cone).
-
E.
boosterType
Indicates the specific kind or category of booster associated with an entity or action.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e172b213e481909ee0c05e16229a26 |
completed | April 16, 2026, 11:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.