Triple
T16351431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pankisi Gorge |
E397069
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object |
Kist language
The Kist language is a Nakh (Chechen-related) language spoken by the Kist ethnic minority living primarily in Georgia’s Pankisi Gorge.
|
E1208657
|
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: Kist language | Statement: [Pankisi Gorge, language, Kist language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kist language Context triple: [Pankisi Gorge, language, Kist language]
-
A.
Kistane language
Kistane language is an Ethiopian Semitic language spoken by the Kistane (Soddo) people in central Ethiopia.
-
B.
Kiga language
The Kiga language is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda.
-
C.
Kitharaka language
The Kitharaka language is a Bantu language spoken by the Tharaka people of Kenya, closely related to neighboring Kamba and Meru varieties.
-
D.
Sa’och language
The Sa’och language is an endangered Austroasiatic language spoken by the Sa’och people of Cambodia and Thailand, belonging to the Pearic branch.
-
E.
Kisar language
The Kisar language is an Austronesian language spoken on Kisar Island in Indonesia, belonging to the Central Malayo-Polynesian subgroup.
- 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: Kist language Triple: [Pankisi Gorge, language, Kist language]
Generated description
The Kist language is a Nakh (Chechen-related) language spoken by the Kist ethnic minority living primarily in Georgia’s Pankisi Gorge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kist language Target entity description: The Kist language is a Nakh (Chechen-related) language spoken by the Kist ethnic minority living primarily in Georgia’s Pankisi Gorge.
-
A.
Kistane language
Kistane language is an Ethiopian Semitic language spoken by the Kistane (Soddo) people in central Ethiopia.
-
B.
Kiga language
The Kiga language is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda.
-
C.
Kitharaka language
The Kitharaka language is a Bantu language spoken by the Tharaka people of Kenya, closely related to neighboring Kamba and Meru varieties.
-
D.
Sa’och language
The Sa’och language is an endangered Austroasiatic language spoken by the Sa’och people of Cambodia and Thailand, belonging to the Pearic branch.
-
E.
Kisar language
The Kisar language is an Austronesian language spoken on Kisar Island in Indonesia, belonging to the Central Malayo-Polynesian subgroup.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2facb37d0819093fe45446f1e79c1 |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002db6375c81908c64dbe2bc987b1a |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a00304d7c888190a018d865eb51f0a0 |
completed | May 10, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00309ceba88190a982b439a1e72e78 |
completed | May 10, 2026, 7:15 a.m. |
Created at: April 10, 2026, 5:07 a.m.