Triple
T36395809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa María Tlahuitoltepec |
E896473
|
entity |
| Predicate | hasTextileStyle |
P64189
|
FINISHED |
| Object | geometric embroidery patterns |
—
|
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: geometric embroidery patterns | Statement: [Santa María Tlahuitoltepec, hasTextileStyle, geometric embroidery patterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTextileStyle Context triple: [Santa María Tlahuitoltepec, hasTextileStyle, geometric embroidery patterns]
-
A.
textileType
Indicates the specific kind or category of textile material associated with an entity.
-
B.
textileFeature
chosen
Indicates a characteristic, property, or notable aspect associated with a textile or fabric.
-
C.
hasLiningMaterial
Indicates that one entity uses or contains another entity as the material forming its inner lining.
-
D.
clothingFeature
Indicates that one entity has a specific clothing-related attribute, detail, or characteristic associated with it.
-
E.
hasStripePattern
Indicates that one entity exhibits a stripe-like visual pattern on its surface or body.
- 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: May 3, 2026, 4:10 p.m.