Triple
T8375122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balloon Dog (Magenta) |
E197556
|
entity |
| Predicate | intendedViewingEnvironment |
P42052
|
FINISHED |
| Object | gallery space |
—
|
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: gallery space | Statement: [Balloon Dog (Magenta), intendedViewingEnvironment, gallery space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedViewingEnvironment Context triple: [Balloon Dog (Magenta), intendedViewingEnvironment, gallery space]
-
A.
intendedViewerExperience
Indicates the type or quality of experience that a piece of content is designed or expected to provide to its viewers.
-
B.
intendedViewingDistance
Indicates the distance at which something is meant or designed to be viewed or observed.
-
C.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
-
D.
displayEnvironment
Indicates that an entity presents or renders a particular environment or environmental setting for viewing or interaction.
-
E.
hasViewingConditions
chosen
Indicates that one entity is associated with specific viewing conditions under which it is meant to be observed or evaluated.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a996ec819083ce2607c0cdab7f |
completed | March 31, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:01 p.m.