Triple
T630930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney's All-Star Music Resort |
E15923
|
entity |
| Predicate | isNonSmoking |
P17282
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Disney's All-Star Music Resort, isNonSmoking, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonSmoking Context triple: [Disney's All-Star Music Resort, isNonSmoking, true]
-
A.
smokeUse
Indicates that an entity uses or consumes tobacco or other substances by smoking.
-
B.
nonExclusive
Indicates that the relationship or access is shared among multiple parties and is not limited to a single, exclusive holder.
-
C.
doesNotServe
Indicates that one entity explicitly does not provide a service, function, or role to another entity.
-
D.
isOutdoorFacility
Indicates that a facility is located outdoors or primarily functions in an open-air environment.
-
E.
indoorOrOutdoor
Indicates whether an activity, event, or entity occurs inside a building (indoors) or outside in open air (outdoors).
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec171008190ab91dee86e9279af |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d030c648190ba1a02301b45f694 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49defe58c8190bd39ef47c9f660a7 |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.