Triple
T19817771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeniseian languages |
E476104
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Kott language
Kott language is an extinct Yeniseian language once spoken in central Siberia, known from limited historical documentation.
|
E1397110
|
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: Kott language | Statement: [Yeniseian languages, hasLanguage, Kott language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kott language Context triple: [Yeniseian languages, hasLanguage, Kott language]
-
A.
Kuteb language
Kuteb language is a Jukunoid language spoken primarily by the Kuteb people in parts of Nigeria and Cameroon.
-
B.
Pokot language
The Pokot language is a Southern Nilotic language spoken by the Pokot people of Kenya and Uganda.
-
C.
Kavelchadom language
The Kavelchadom language is a lesser-known indigenous Yuman language historically spoken in the Lower Colorado River region of the southwestern United States and northern Mexico.
-
D.
Kist language
The Kist language is a Nakh (Chechen-related) language spoken by the Kist ethnic minority living primarily in Georgia’s Pankisi Gorge.
-
E.
Khortha language
Khortha is an Eastern Indo-Aryan language spoken primarily in the Indian state of Jharkhand, where it serves as a major regional lingua franca among various communities.
- 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: Kott language Triple: [Yeniseian languages, hasLanguage, Kott language]
Generated description
Kott language is an extinct Yeniseian language once spoken in central Siberia, known from limited historical documentation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kott language Target entity description: Kott language is an extinct Yeniseian language once spoken in central Siberia, known from limited historical documentation.
-
A.
Kuteb language
Kuteb language is a Jukunoid language spoken primarily by the Kuteb people in parts of Nigeria and Cameroon.
-
B.
Pokot language
The Pokot language is a Southern Nilotic language spoken by the Pokot people of Kenya and Uganda.
-
C.
Kavelchadom language
The Kavelchadom language is a lesser-known indigenous Yuman language historically spoken in the Lower Colorado River region of the southwestern United States and northern Mexico.
-
D.
Kist language
The Kist language is a Nakh (Chechen-related) language spoken by the Kist ethnic minority living primarily in Georgia’s Pankisi Gorge.
-
E.
Khortha language
Khortha is an Eastern Indo-Aryan language spoken primarily in the Indian state of Jharkhand, where it serves as a major regional lingua franca among various communities.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654fac7b481909a19ae0d608e01d9 |
completed | April 20, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccce7d0881909a08ef7e52078998 |
completed | May 16, 2026, 1:47 a.m. |
| NEDg | Description generation | batch_6a07cf8ca2988190b2dfa8c2f4d3dcd9 |
completed | May 16, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d02ee2308190b263ed90342e9072 |
completed | May 16, 2026, 2:02 a.m. |
Created at: April 10, 2026, 1:50 p.m.