Triple
T28377242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primeval World Diorama |
E718784
|
entity |
| Predicate | hasImmersion |
P63398
|
FINISHED |
| Object | continuous panoramic scenes |
—
|
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: continuous panoramic scenes | Statement: [Primeval World Diorama, hasImmersion, continuous panoramic scenes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImmersion Context triple: [Primeval World Diorama, hasImmersion, continuous panoramic scenes]
-
A.
hasImmersionElement
chosen
Indicates that something includes or is associated with an element that creates a sense of immersion or deep involvement in an experience.
-
B.
hasNotchNearby
Indicates that one entity is located in close spatial proximity to a notch associated with another entity.
-
C.
hasPrimarySurface
Indicates that one entity serves as the main or principal surface associated with another entity.
-
D.
hasScreen
Indicates that an entity is equipped with or includes a screen or display component.
-
E.
hasTouchControls
Indicates that an entity supports or is operated through touch-based input controls.
- 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 28, 2026, 1:03 a.m.