Triple
T9485690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiana’s Bayou Adventure |
E228753
|
entity |
| Predicate | statusAtDisneyland |
P20989
|
FINISHED |
| Object | under construction |
—
|
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: under construction | Statement: [Tiana’s Bayou Adventure, statusAtDisneyland, under construction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAtDisneyland Context triple: [Tiana’s Bayou Adventure, statusAtDisneyland, under construction]
-
A.
visitorAttractionStatus
chosen
Indicates the current operational or accessibility status of a visitor attraction (e.g., open, closed, restricted).
-
B.
closingDateAtWaltDisneyStudiosPark
Indicates the date on which something (typically an attraction or feature) ceased operations specifically at Walt Disney Studios Park.
-
C.
closingDateAtDisneyCaliforniaAdventure
Indicates the date on which something (such as an attraction, event, or venue) stops operating or is officially closed at Disney California Adventure.
-
D.
isFirstDisneyResortOutside
Indicates that a given Disney resort is the first one established outside a specified region or country.
-
E.
isLargestThemeParkIn
Indicates that a theme park is the largest (by a specified measure such as area, attendance, or attractions) among all theme parks within a given location or region.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd804fb2b4819084c7f5a842dbe5a6 |
completed | April 1, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:55 p.m.