Triple
T7045140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramoji Film City |
E163612
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Ramoji Group |
E638827
|
NE 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: Ramoji Group | Statement: [Ramoji Film City, operator, Ramoji Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramoji Group Context triple: [Ramoji Film City, operator, Ramoji Group]
-
A.
Ramoji Group
chosen
Ramoji Group is an Indian conglomerate best known for its diversified interests in media, entertainment, and hospitality.
-
B.
Reliance Entertainment
Reliance Entertainment is an Indian film and media production company known for financing and distributing a wide range of Bollywood and international movies.
-
C.
Allu Entertainment
Allu Entertainment is a film production and distribution company operating as a division of the prominent Indian media house Geetha Arts.
-
D.
Ramanaidu Studios
Ramanaidu Studios is a prominent film production complex in Hyderabad, India, widely recognized for its extensive facilities and major role in South Indian cinema.
-
E.
Zee Studios
Zee Studios is a major Indian film production and distribution company known for backing prominent Marathi-language films as well as movies in other regional and Hindi markets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e238c7a4819095f5ff7283d48da8 |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c794429b648190b6399a2447db07d0 |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:37 p.m.