Triple
T16992814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luminothérapie |
E412234
|
entity |
| Predicate | usesSpaceType |
P32186
|
FINISHED |
| Object | public spaces |
—
|
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: public spaces | Statement: [Luminothérapie, usesSpaceType, public spaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSpaceType Context triple: [Luminothérapie, usesSpaceType, public spaces]
-
A.
usesSpace
Indicates that one entity occupies, consumes, or makes use of physical or conceptual space associated with another entity.
-
B.
spaceType
Indicates the category or kind of physical or conceptual space associated with an entity.
-
C.
hasSpaceType
chosen
Indicates that one entity is associated with, or classified by, a particular type or category of space.
-
D.
performanceSpaceType
Indicates the specific kind or category of space in which a performance or event takes place.
-
E.
openSpaceType
Indicates the type or category of an open space associated with an entity (e.g., park, plaza, courtyard).
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d283d2388190a78bf8d179e83fdc |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.