Triple
T33199527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaiyya Chaiyya |
E849860
|
entity |
| Predicate | usesTraditionalMotifs |
P107519
|
FINISHED |
| Object | Sufi imagery |
—
|
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: Sufi imagery | Statement: [Chaiyya Chaiyya, usesTraditionalMotifs, Sufi imagery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTraditionalMotifs Context triple: [Chaiyya Chaiyya, usesTraditionalMotifs, Sufi imagery]
-
A.
traditionalMotif
Indicates that something incorporates, represents, or is characterized by a motif rooted in established cultural or historical traditions.
-
B.
usesDesignTradition
Indicates that one entity creates, interprets, or operates according to the established design principles, styles, or conventions associated with another entity or tradition.
-
C.
usesMotifsFrom
Indicates that one entity incorporates or draws upon recurring themes, patterns, or elements that originate from another entity.
-
D.
usesTraditionalDecoration
chosen
Indicates that an entity employs customary or historically established decorative styles or motifs in its design or presentation.
-
E.
hasTraditionalColors
Indicates that an entity is associated with colors that are traditionally or customarily linked to it.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 1, 2026, 1:29 a.m.