Triple
T5277264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bake My Day |
E119399
|
entity |
| Predicate | themeAreaOpeningContext |
P28568
|
FINISHED |
| Object | Minion Land expansion at Universal Studios Florida |
—
|
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: Minion Land expansion at Universal Studios Florida | Statement: [Bake My Day, themeAreaOpeningContext, Minion Land expansion at Universal Studios Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeAreaOpeningContext Context triple: [Bake My Day, themeAreaOpeningContext, Minion Land expansion at Universal Studios Florida]
-
A.
areaComponent
Indicates that one area is a constituent or sub-area that forms part of a larger area.
-
B.
thematicArea
chosen
Indicates the subject or item is associated with, or falls under, a particular thematic area or topic of focus.
-
C.
containsThemeArea
Indicates that one entity includes or encompasses a specific thematic area as part of its scope or content.
-
D.
centralThemeContext
Indicates that one concept serves as the main thematic focus within the situational, narrative, or discourse context defined by another.
-
E.
featuredArea
Indicates that an area or section is highlighted or given special prominence within a larger context or layout.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:51 p.m.