Triple
T6398545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gondi language |
E144000
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Dorla Gondi |
E113044
|
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: Dorla Gondi | Statement: [Gondi language, hasDialects, Dorla Gondi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorla Gondi Context triple: [Gondi language, hasDialects, Dorla Gondi]
-
A.
Dorla Gondi
chosen
Dorla Gondi is a regional dialect of the Gondi language spoken by the Dorla subgroup of the Gondi people in central India.
-
B.
Chanda Gondi
Chanda Gondi is a regional dialect of the Southern Gondi language spoken by Gondi communities in central India.
-
C.
Santha Faiia
Santha Faiia is a photographer known for her work documenting ancient sacred sites and for being married to author and researcher Graham Hancock.
-
D.
Ellora Torchia
Ellora Torchia is a British actress known for her roles in films such as "Midsommar" and various acclaimed television and stage productions.
-
E.
Amara Namani
Amara Namani is a young, resourceful Jaeger pilot and central protagonist in the science fiction film "Pacific Rim: Uprising."
- 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06897ebc48190842d48cce469eba5 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6389bd9f48190af9811cf8cee124e |
completed | March 27, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:35 p.m.