Triple
T25490688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramoji Group |
E638827
|
entity |
| Predicate | languageOfMajorMediaAssets |
P40556
|
FINISHED |
| Object | Telugu |
—
|
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: Telugu | Statement: [Ramoji Group, languageOfMajorMediaAssets, Telugu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMajorMediaAssets Context triple: [Ramoji Group, languageOfMajorMediaAssets, Telugu]
-
A.
dominantMediaLanguage
chosen
Indicates that one language is the primary or most prevalent medium of communication used in a given media context or outlet.
-
B.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
-
C.
languageOfSources
Indicates that the specified language is the language in which the referenced sources or source materials are expressed.
-
D.
shareMajorLanguage
Indicates that the entities have at least one primary or major language in common.
-
E.
languageOfSurroundingCulture
Indicates that one entity is the language predominantly used or characteristic of the surrounding culture associated with another entity.
- 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_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 21, 2026, 2:38 p.m.