Triple
T19333393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutul |
E483554
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Ikhrek dialect
The Ikhrek dialect is a regional variety of the Rutul language spoken by Rutul communities in the Caucasus.
|
E1372686
|
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: Ikhrek dialect | Statement: [Rutul, hasDialect, Ikhrek dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikhrek dialect Context triple: [Rutul, hasDialect, Ikhrek dialect]
-
A.
Khori dialect
The Khori dialect is a major regional variety of the Buryat language spoken primarily by the Khori Buryats in parts of Russia and Mongolia.
-
B.
Razihi dialect
The Razihi dialect is a highly distinctive and conservative Arabic variety spoken in parts of northwestern Yemen, noted for preserving many archaic linguistic features.
-
C.
Ayt Sokhman dialect
The Ayt Sokhman dialect is a regional variety of Central Atlas Tamazight spoken by the Ayt Sokhman Amazigh community in Morocco.
-
D.
Kebkabiya dialect
The Kebkabiya dialect is a regional variety of the Foor language spoken around the Kebkabiya area, distinguished by its local phonological and lexical features.
-
E.
Zanniat dialect
The Zanniat dialect is a regional variety of the Falam Chin language spoken by the Zanniat people in parts of Chin State, Myanmar.
- 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: Ikhrek dialect Triple: [Rutul, hasDialect, Ikhrek dialect]
Generated description
The Ikhrek dialect is a regional variety of the Rutul language spoken by Rutul communities in the Caucasus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ikhrek dialect Target entity description: The Ikhrek dialect is a regional variety of the Rutul language spoken by Rutul communities in the Caucasus.
-
A.
Khori dialect
The Khori dialect is a major regional variety of the Buryat language spoken primarily by the Khori Buryats in parts of Russia and Mongolia.
-
B.
Razihi dialect
The Razihi dialect is a highly distinctive and conservative Arabic variety spoken in parts of northwestern Yemen, noted for preserving many archaic linguistic features.
-
C.
Ayt Sokhman dialect
The Ayt Sokhman dialect is a regional variety of Central Atlas Tamazight spoken by the Ayt Sokhman Amazigh community in Morocco.
-
D.
Kebkabiya dialect
The Kebkabiya dialect is a regional variety of the Foor language spoken around the Kebkabiya area, distinguished by its local phonological and lexical features.
-
E.
Zanniat dialect
The Zanniat dialect is a regional variety of the Falam Chin language spoken by the Zanniat people in parts of Chin State, Myanmar.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61642f49c81909226cfd701f7c139 |
completed | April 20, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0724035bd481909edfede625f01b59 |
completed | May 15, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a07258a0f9081908661d056a870f5e1 |
completed | May 15, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0725f753848190a19d57255477a3ce |
completed | May 15, 2026, 1:56 p.m. |
Created at: April 10, 2026, 1:33 p.m.