Triple
T4949955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dargin |
E111143
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Tsudakhar
Tsudakhar is a dialect of the Dargin language spoken by Dargin communities in the North Caucasus region of Dagestan, Russia.
|
E483541
|
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: Tsudakhar | Statement: [Dargin, hasDialects, Tsudakhar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsudakhar Context triple: [Dargin, hasDialects, Tsudakhar]
-
A.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
B.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
C.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
D.
Tokoro
Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
-
E.
Otachi
Otachi is a massive Category IV kaiju from the film "Pacific Rim," known for its powerful tail, acidic spit, and ability to fly during its battle against the Jaeger Gipsy Danger.
- 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: Tsudakhar Triple: [Dargin, hasDialects, Tsudakhar]
Generated description
Tsudakhar is a dialect of the Dargin language spoken by Dargin communities in the North Caucasus region of Dagestan, Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsudakhar Target entity description: Tsudakhar is a dialect of the Dargin language spoken by Dargin communities in the North Caucasus region of Dagestan, Russia.
-
A.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
B.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
C.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
D.
Tokoro
Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
-
E.
Otachi
Otachi is a massive Category IV kaiju from the film "Pacific Rim," known for its powerful tail, acidic spit, and ability to fly during its battle against the Jaeger Gipsy Danger.
- 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.