Triple
T22920128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voletarium |
E568836
|
entity |
| Predicate | immersiveLevel |
P99309
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Voletarium, immersiveLevel, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immersiveLevel Context triple: [Voletarium, immersiveLevel, high]
-
A.
immersive
Indicates that an experience or environment fully surrounds and engages an entity’s senses or attention, creating a strong feeling of being present within it.
-
B.
exposureLevel
chosen
Indicates the degree or intensity to which an entity is subjected or exposed to a particular factor, condition, or influence.
-
C.
typicalImmersionType
Indicates the usual or most common form or mode in which an entity is immersed or engaged in something.
-
D.
immersedIn
Indicates that one entity is fully surrounded, absorbed, or deeply involved within another medium, environment, or activity.
-
E.
splashLevel
Indicates the degree or intensity to which something causes or experiences splashing.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d40f98819096210c097b47d43b |
completed | April 29, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.