Triple
T29246364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persian writing tradition |
E741449
|
entity |
| Predicate | aestheticFeatures |
P102534
|
FINISHED |
| Object | elongated letterforms |
—
|
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: elongated letterforms | Statement: [Persian writing tradition, aestheticFeatures, elongated letterforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aestheticFeatures Context triple: [Persian writing tradition, aestheticFeatures, elongated letterforms]
-
A.
associatedAesthetic
chosen
Indicates a relationship where one entity is linked to or characterized by a particular aesthetic style, quality, or visual/theme-based sensibility.
-
B.
aestheticRole
Indicates the role or function something has within an aesthetic or artistic context (e.g., as artwork, decoration, or design element).
-
C.
artisticCharacteristic
Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
-
D.
ornamentalFeature
Indicates that one entity serves as a decorative or embellishing feature of another entity.
-
E.
featuresDecor
Indicates that one entity includes or showcases the decor elements provided or defined by another entity.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f66489459c8190aa343cb2b8af1300 |
completed | May 2, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 12:33 p.m.