Triple
T9669410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khakas |
E233987
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Sagaysky dialect
The Sagaysky dialect is a regional variety of the Khakas language spoken by the Sagay subgroup of the Khakas people in Siberia.
|
E813226
|
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: Sagaysky dialect | Statement: [Khakas, hasDialect, Sagaysky dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sagaysky dialect Context triple: [Khakas, hasDialect, Sagaysky dialect]
-
A.
Babolki dialect
The Babolki dialect is a regional variety of the Mazanderani language traditionally spoken around the city of Babol in northern Iran.
-
B.
Buynaksk dialect
The Buynaksk dialect is a regional variety of the Kumyk language spoken around the city of Buynaksk in Dagestan, Russia.
-
C.
Gaika dialect
The Gaika dialect is a regional variety of the Xhosa language traditionally associated with the amaGqika subgroup in South Africa.
-
D.
Abzhywa dialect
The Abzhywa dialect is a major regional variety of the Abkhaz language, traditionally spoken in the Abzhywa (Abzhua) area of Abkhazia.
-
E.
Aknogai dialect
The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
- 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: Sagaysky dialect Triple: [Khakas, hasDialect, Sagaysky dialect]
Generated description
The Sagaysky dialect is a regional variety of the Khakas language spoken by the Sagay subgroup of the Khakas people in Siberia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sagaysky dialect Target entity description: The Sagaysky dialect is a regional variety of the Khakas language spoken by the Sagay subgroup of the Khakas people in Siberia.
-
A.
Babolki dialect
The Babolki dialect is a regional variety of the Mazanderani language traditionally spoken around the city of Babol in northern Iran.
-
B.
Buynaksk dialect
The Buynaksk dialect is a regional variety of the Kumyk language spoken around the city of Buynaksk in Dagestan, Russia.
-
C.
Gaika dialect
The Gaika dialect is a regional variety of the Xhosa language traditionally associated with the amaGqika subgroup in South Africa.
-
D.
Abzhywa dialect
The Abzhywa dialect is a major regional variety of the Abkhaz language, traditionally spoken in the Abzhywa (Abzhua) area of Abkhazia.
-
E.
Aknogai dialect
The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3d5b3481908c8c66a3528875aa |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a247ca48190910624dfbf0b491d |
completed | April 4, 2026, 10:01 p.m. |
| NEDg | Description generation | batch_69d18acf86588190bc000f701bcaaa1c |
completed | April 4, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18ba396cc8190a3ded2ac3968c553 |
completed | April 4, 2026, 10:07 p.m. |
Created at: March 30, 2026, 8:15 p.m.