Triple
T4949962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dargin |
E111143
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Sirkhi
Sirkhi is a dialect of the Dargin language, spoken by a subgroup of the Dargin people in the North Caucasus region of Russia.
|
E483547
|
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: Sirkhi | Statement: [Dargin, hasDialects, Sirkhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirkhi Context triple: [Dargin, hasDialects, Sirkhi]
-
A.
Salbai
Salbai is a historical location in India known primarily as the site where the 1782 Treaty of Salbai was concluded between the British East India Company and the Maratha Empire.
-
B.
Singhwara
Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
-
C.
Sachkhere
Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
-
D.
Bairat
Bairat is a historic town in Rajasthan, India, known for its ancient Buddhist archaeological remains and connections to the Mauryan period.
-
E.
Sibi
Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
- 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: Sirkhi Triple: [Dargin, hasDialects, Sirkhi]
Generated description
Sirkhi is a dialect of the Dargin language, spoken by a subgroup of the Dargin people in the North Caucasus region of Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sirkhi Target entity description: Sirkhi is a dialect of the Dargin language, spoken by a subgroup of the Dargin people in the North Caucasus region of Russia.
-
A.
Salbai
Salbai is a historical location in India known primarily as the site where the 1782 Treaty of Salbai was concluded between the British East India Company and the Maratha Empire.
-
B.
Singhwara
Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
-
C.
Sachkhere
Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
-
D.
Bairat
Bairat is a historic town in Rajasthan, India, known for its ancient Buddhist archaeological remains and connections to the Mauryan period.
-
E.
Sibi
Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7167f97481908db5bfa9338e3824 |
completed | March 20, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81d03b088190aa6601298ee4d8fd |
completed | March 21, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69be8625c100819086b9621b43268164 |
completed | March 21, 2026, 11:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8675c7e08190b01880a679554412 |
completed | March 21, 2026, 11:52 a.m. |
Created at: March 20, 2026, 1:31 p.m.