Triple
T9576094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innoventions |
E231048
|
entity |
| Predicate | parkSectionUseAfterClosure |
P58931
|
FINISHED |
| Object | Epcot festivals event space |
—
|
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: Epcot festivals event space | Statement: [Innoventions, parkSectionUseAfterClosure, Epcot festivals event space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parkSectionUseAfterClosure Context triple: [Innoventions, parkSectionUseAfterClosure, Epcot festivals event space]
-
A.
parkSectionOpening
Indicates that a specific section of a park is opening or becoming available for use, typically at a particular time or under certain conditions.
-
B.
buildingUseAfterClosure
chosen
Indicates how a building is used or repurposed after its original function or operation has ceased.
-
C.
parkSection
Indicates a relationship where a specific area or subsection belongs to, is contained within, or is designated as part of a larger park.
-
D.
parkSectionReplaced
Indicates that one section of a park has been replaced by another section, typically as part of an update, renovation, or redesign.
-
E.
parkArea
Indicates that an area of land is designated and used as a park or recreational green space.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99ac17a48190bb8448394f22b1e9 |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:05 p.m.