Triple
T18745744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badju |
E458399
|
entity |
| Predicate | hasEmbroideryTechnique |
P3047
|
FINISHED |
| Object | hand embroidery |
—
|
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: hand embroidery | Statement: [Badju, hasEmbroideryTechnique, hand embroidery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmbroideryTechnique Context triple: [Badju, hasEmbroideryTechnique, hand embroidery]
-
A.
typicalWeavingTechnique
Indicates that one entity is the characteristic or commonly used weaving method associated with another entity.
-
B.
stitchTypeUsed
Indicates that a particular type of stitch is employed in performing or constructing the referenced action or object.
-
C.
textileFeature
Indicates a characteristic, property, or notable aspect associated with a textile or fabric.
-
D.
hasTechnique
chosen
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
E.
hasWeave
Indicates that one entity possesses, exhibits, or is characterized by a particular weave or woven pattern associated with 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57692c380819091e8a919ab6c9ca9 |
completed | April 20, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.