Triple
T939345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gondi |
E20268
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Koya Gondi
Koya Gondi is a dialect of the Gondi language spoken primarily by the Koya tribal communities in central India.
|
E128827
|
NE FINISHED |
How this triple was built (4 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: Koya Gondi | Statement: [Gondi, hasDialects, Koya Gondi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koya Gondi Context triple: [Gondi, hasDialects, Koya Gondi]
-
A.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
B.
Kalunguta
Kalunguta is a locality in the North Kivu province of the Democratic Republic of the Congo that gained prominence as a major hotspot during the 2018–2020 Kivu Ebola epidemic.
-
C.
Dila Gori
Dila Gori is a professional football club based in Gori, Georgia, competing in the country’s top-tier league.
-
D.
Gudakesha
Gudakesha is an epithet of the warrior prince Arjuna from the Indian epic Mahabharata, highlighting his mastery over sleep and unwavering focus.
-
E.
Kharagauli
Kharagauli is a small town in western Georgia known as a gateway to the Borjomi-Kharagauli National Park and as a local transport and administrative hub.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Koya Gondi Triple: [Gondi, hasDialects, Koya Gondi]
Generated description
Koya Gondi is a dialect of the Gondi language spoken primarily by the Koya tribal communities in central India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koya Gondi Target entity description: Koya Gondi is a dialect of the Gondi language spoken primarily by the Koya tribal communities in central India.
-
A.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
B.
Kalunguta
Kalunguta is a locality in the North Kivu province of the Democratic Republic of the Congo that gained prominence as a major hotspot during the 2018–2020 Kivu Ebola epidemic.
-
C.
Dila Gori
Dila Gori is a professional football club based in Gori, Georgia, competing in the country’s top-tier league.
-
D.
Gudakesha
Gudakesha is an epithet of the warrior prince Arjuna from the Indian epic Mahabharata, highlighting his mastery over sleep and unwavering focus.
-
E.
Kharagauli
Kharagauli is a small town in western Georgia known as a gateway to the Borjomi-Kharagauli National Park and as a local transport and administrative hub.
- F. None of above. chosen
Provenance (5 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b38a3ad4819080d71849e822a12a |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac53796d948190b77dc7b875cdbf77 |
completed | March 7, 2026, 4:34 p.m. |
| NEDg | Description generation | batch_69ac53fce9a481908466451b5d549b31 |
completed | March 7, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac546db5a081909678bbde71ac1abc |
completed | March 7, 2026, 4:38 p.m. |
Created at: March 1, 2026, 7:40 p.m.