Triple
T33415282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Karakalpakstan |
E855696
|
entity |
| Predicate | scriptUsedInOrnament |
P187594
|
FINISHED |
| Object | traditional Karakalpak decorative motifs |
—
|
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: traditional Karakalpak decorative motifs | Statement: [Flag of Karakalpakstan, scriptUsedInOrnament, traditional Karakalpak decorative motifs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptUsedInOrnament Context triple: [Flag of Karakalpakstan, scriptUsedInOrnament, traditional Karakalpak decorative motifs]
-
A.
scriptDirectionOnOrnaments
Indicates the direction in which script or writing is oriented or arranged on decorative ornaments.
-
B.
allowsOrnamentation
Indicates that one entity permits or enables decorative additions or embellishments to be applied to another entity.
-
C.
hasOrnamentation
Indicates that an entity possesses decorative features or embellishments applied to its surface or structure.
-
D.
scriptUsedCurrently
Indicates that a particular writing system or script is the one presently in use for a given language, text, or context.
-
E.
scriptUsedInSignage
Indicates that a particular writing system or script is employed in the text or graphics of a sign or signage.
- F. None of above. chosen
Provenance (4 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb6fdab95c81909acff3c6a2359787 |
completed | May 6, 2026, 4:44 p.m. |
Created at: May 1, 2026, 1:36 a.m.