Triple
T17786356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomorrow (installation) |
E444026
|
entity |
| Predicate | hasImmersiveAspect |
P63398
|
FINISHED |
| Object | visitors can walk through the environment |
—
|
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: visitors can walk through the environment | Statement: [Tomorrow (installation), hasImmersiveAspect, visitors can walk through the environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImmersiveAspect Context triple: [Tomorrow (installation), hasImmersiveAspect, visitors can walk through the environment]
-
A.
hasModernAspect
Indicates that something possesses characteristics, features, or qualities associated with modern or contemporary style, design, or thinking.
-
B.
hasImmersionElement
chosen
Indicates that something includes or is associated with an element that creates a sense of immersion or deep involvement in an experience.
-
C.
supportsCinematicMode
Indicates that one entity provides or enables a cinematic mode feature for another entity.
-
D.
supportsFullscreenMode
Indicates that an entity enables or is compatible with displaying content in fullscreen mode.
-
E.
aspectRatio
Indicates the proportional relationship between an entity’s width and its height.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487938418819096016ad717b014e6 |
completed | April 19, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:12 a.m.