Triple
T19333398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutul |
E483554
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Shtul dialect
The Shtul dialect is a regional variety of the Rutul language spoken by the Rutul people of the Caucasus.
|
E1372687
|
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: Shtul dialect | Statement: [Rutul, hasDialect, Shtul dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shtul dialect Context triple: [Rutul, hasDialect, Shtul dialect]
-
A.
Itsarinsky dialect
The Itsarinsky dialect is a variety of the Dargin language spoken by the inhabitants of the village of Itsari in Dagestan, Russia.
-
B.
Krakolye dialect
The Krakolye dialect is a regional variety of the Votic language traditionally spoken in and around the village of Krakolye in Ingria.
-
C.
Sagaysky dialect
The Sagaysky dialect is a regional variety of the Khakas language spoken by the Sagay subgroup of the Khakas people in Siberia.
-
D.
Malgavet dialect
The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
-
E.
Kachinsky dialect
The Kachinsky dialect is a regional variety of the Khakas language spoken by Khakas communities in parts of Siberia.
- 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: Shtul dialect Triple: [Rutul, hasDialect, Shtul dialect]
Generated description
The Shtul dialect is a regional variety of the Rutul language spoken by the Rutul people of the Caucasus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shtul dialect Target entity description: The Shtul dialect is a regional variety of the Rutul language spoken by the Rutul people of the Caucasus.
-
A.
Itsarinsky dialect
The Itsarinsky dialect is a variety of the Dargin language spoken by the inhabitants of the village of Itsari in Dagestan, Russia.
-
B.
Krakolye dialect
The Krakolye dialect is a regional variety of the Votic language traditionally spoken in and around the village of Krakolye in Ingria.
-
C.
Sagaysky dialect
The Sagaysky dialect is a regional variety of the Khakas language spoken by the Sagay subgroup of the Khakas people in Siberia.
-
D.
Malgavet dialect
The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
-
E.
Kachinsky dialect
The Kachinsky dialect is a regional variety of the Khakas language spoken by Khakas communities in parts of Siberia.
- 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.