Triple
T38348890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adyghe State Drama Theatre |
E1041621
|
entity |
| Predicate | ethnicCulturePromoted |
P153030
|
FINISHED |
| Object | Adyghe people |
—
|
NE NERFINISHED |
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: Adyghe people | Statement: [Adyghe State Drama Theatre, ethnicCulturePromoted, Adyghe people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicCulturePromoted Context triple: [Adyghe State Drama Theatre, ethnicCulturePromoted, Adyghe people]
-
A.
ethnicCultureDocumented
Indicates that information about an ethnic culture has been recorded, described, or otherwise documented.
-
B.
aboutCulture
chosen
Indicates that something concerns, references, or is related to a particular culture, its practices, values, or expressions.
-
C.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
D.
culturalCategory
Indicates that one entity classifies or groups another entity according to a particular culture, tradition, or culturally defined type.
-
E.
culturalElements
Indicates a relationship where certain elements (such as practices, symbols, or artifacts) belong to, express, or characterize a particular culture or cultural context.
- 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_69f76e2ad95481908c920c0e5c1c3e26 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: May 3, 2026, 4:30 p.m.