Triple
T428521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunsphere |
E9662
|
entity |
| Predicate | themeOfAssociatedEvent |
P7671
|
FINISHED |
| Object | energy |
—
|
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: energy | Statement: [Sunsphere, themeOfAssociatedEvent, energy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeOfAssociatedEvent Context triple: [Sunsphere, themeOfAssociatedEvent, energy]
-
A.
exhibitTheme
Indicates that something (such as a work, event, or presentation) presents, embodies, or is organized around a particular theme.
-
B.
featuresEvent
Indicates that an entity includes, presents, or highlights a particular event as part of its content or offering.
-
C.
portraysEvent
Indicates that one entity depicts, represents, or illustrates a particular event.
-
D.
typeOfEvent
Indicates that one entity is classified as a specific kind or category of event.
-
E.
notableTheme
chosen
Indicates that a particular theme is prominently featured in, or strongly associated with, an entity such as a work, event, or body of content.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eeecb64c81908c5c83ef7c0181e6 |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd7a3608190b8785c7b7205f6c1 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.