Triple
T12632765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Studio Alta |
E301683
|
entity |
| Predicate | hasOutdoorScreenType |
P99660
|
FINISHED |
| Object | LED display |
—
|
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: LED display | Statement: [Studio Alta, hasOutdoorScreenType, LED display]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutdoorScreenType Context triple: [Studio Alta, hasOutdoorScreenType, LED display]
-
A.
hasScreen
Indicates that an entity is equipped with or includes a screen or display component.
-
B.
hasScreenType
chosen
Indicates the specific kind or category of screen associated with or used by an entity.
-
C.
hasOutdoorFocus
Indicates a relationship where an entity is primarily concerned with, oriented toward, or specialized in outdoor environments, activities, or contexts.
-
D.
hasOutdoorSpaceType
Indicates the specific kind of outdoor area associated with an entity, such as a balcony, terrace, garden, or patio.
-
E.
hasWindScreens
Indicates that an entity is equipped with or features wind screens, which serve as barriers or shields against wind.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960b47130819097e1162ed4fc993a |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:15 p.m.