Triple
T32345275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Respirare l’ombra |
E826439
|
entity |
| Predicate | materialContrast |
P108941
|
FINISHED |
| Object | organic leaves vs. durable bronze |
—
|
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: organic leaves vs. durable bronze | Statement: [Respirare l’ombra, materialContrast, organic leaves vs. durable bronze]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialContrast Context triple: [Respirare l’ombra, materialContrast, organic leaves vs. durable bronze]
-
A.
textureContrast
chosen
Indicates a relationship where two surfaces or regions differ noticeably in their tactile or visual texture qualities.
-
B.
materialOptions
Indicates that there are one or more possible materials that can be chosen or applied in relation to a given entity or context.
-
C.
providesContrastWith
Indicates that one entity is used to highlight differences or distinctions when compared with another entity.
-
D.
materialCompatibility
Indicates that two or more materials are suitable to be used together without causing adverse interactions, degradation, or performance issues.
-
E.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
- 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_69f34914dfc48190a390cd0720d9e86f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 12:48 a.m.