Triple
T4949953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dargin |
E111143
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Akusha |
E416672
|
NE FINISHED |
How this triple was built (2 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: Akusha | Statement: [Dargin, hasDialects, Akusha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akusha Context triple: [Dargin, hasDialects, Akusha]
-
A.
Akusha Dargwa
chosen
Akusha Dargwa is a variety of the Dargwa language spoken in the Republic of Dagestan in the North Caucasus region of Russia.
-
B.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
C.
Kusha
Kusha is a figure from the Hindu epic Ramayana, traditionally regarded as one of the twin sons of Rama and Sita and a ruler in the Ikshvaku dynasty.
-
D.
Reona
Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
-
E.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: March 20, 2026, 1:31 p.m.