Triple
T26893336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | মাদ্রাজ |
E677835
|
entity |
| Predicate | সংস্কৃতি |
P14191
|
FINISHED |
| Object | তামিল চলচ্চিত্র শিল্পের অন্যতম কেন্দ্র |
—
|
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: তামিল চলচ্চিত্র শিল্পের অন্যতম কেন্দ্র | Statement: [মাদ্রাজ, সংস্কৃতি, তামিল চলচ্চিত্র শিল্পের অন্যতম কেন্দ্র]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: সংস্কৃতি Context triple: [মাদ্রাজ, সংস্কৃতি, তামিল চলচ্চিত্র শিল্পের অন্যতম কেন্দ্র]
-
A.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
B.
culturalCategory
Indicates that one entity classifies or groups another entity according to a particular culture, tradition, or culturally defined type.
-
C.
culturalSphere
chosen
Indicates that one entity belongs to, is influenced by, or participates in the cultural domain, tradition, or milieu defined by another entity.
-
D.
culturalElements
Indicates a relationship where certain elements (such as practices, symbols, or artifacts) belong to, express, or characterize a particular culture or cultural context.
-
E.
aboutCulture
Indicates that something concerns, references, or is related to a particular culture, its practices, values, or expressions.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61f69e4508190ab20c3f2052282e7 |
completed | May 2, 2026, 3:59 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:46 a.m.