Triple
T8550732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaysian Tamil cinema |
E202436
|
entity |
| Predicate | relatedLanguageIndustry |
P20184
|
FINISHED |
| Object | Indian Tamil cinema |
—
|
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: Indian Tamil cinema | Statement: [Malaysian Tamil cinema, relatedLanguageIndustry, Indian Tamil cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedLanguageIndustry Context triple: [Malaysian Tamil cinema, relatedLanguageIndustry, Indian Tamil cinema]
-
A.
languageAssociation
chosen
Indicates an association or relationship between entities based on a language they use, represent, or are linked to.
-
B.
associatedLanguageRegulator
Indicates that one entity serves as the official or recognized regulatory body responsible for overseeing, standardizing, or managing the language associated with another entity.
-
C.
linguisticallyRelatedTo
Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
-
D.
influencedLanguage
Indicates that one language has had an effect on the development, structure, or usage of another language.
-
E.
languageOfInfluence
Indicates a relationship where one language has influenced the development, usage, or characteristics of another language.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe75589d8819096177ddbd3dafcb6 |
completed | March 31, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:19 p.m.