Triple
T23662588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cosmovitral |
E584489
|
entity |
| Predicate | glassArea |
P66950
|
FINISHED |
| Object | approximately 3,000 square meters |
—
|
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: approximately 3,000 square meters | Statement: [Cosmovitral, glassArea, approximately 3,000 square meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: glassArea Context triple: [Cosmovitral, glassArea, approximately 3,000 square meters]
-
A.
hasGlassArea
chosen
Indicates that an object or structure possesses a surface or region made of glass.
-
B.
glazingType
Indicates the type or configuration of glazing (such as single, double, or special coatings) used in or applied to an element.
-
C.
glassType
Indicates the specific kind or category of glass associated with or used by an entity.
-
D.
windowMaterial
Indicates the material from which a window is made or constructed.
-
E.
glassPreparation
Indicates the method or process by which a glass is prepared or set up for use in a given context.
- 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_69e248ffc0888190ae23c4731eb8b7ac |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4094c448190be12402422451e89 |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.