Triple
T4949957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dargin |
E111143
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Megeb
Megeb is a dialect of the Dargin language spoken by the Dargin people of the North Caucasus region in Dagestan, Russia.
|
E483543
|
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: Megeb | Statement: [Dargin, hasDialects, Megeb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megeb Context triple: [Dargin, hasDialects, Megeb]
-
A.
Kogarah
Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
-
B.
Gotemba
Gotemba is a Japanese city in Shizuoka Prefecture known as a gateway to Mount Fuji and a popular base for outdoor activities and outlet shopping.
-
C.
Moruya
Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
-
D.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
E.
Machimura
Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
- 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: Megeb Triple: [Dargin, hasDialects, Megeb]
Generated description
Megeb is a dialect of the Dargin language spoken by the Dargin people of the North Caucasus region in Dagestan, Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Megeb Target entity description: Megeb is a dialect of the Dargin language spoken by the Dargin people of the North Caucasus region in Dagestan, Russia.
-
A.
Kogarah
Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
-
B.
Gotemba
Gotemba is a Japanese city in Shizuoka Prefecture known as a gateway to Mount Fuji and a popular base for outdoor activities and outlet shopping.
-
C.
Moruya
Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
-
D.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
E.
Machimura
Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
- 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.