Triple
T9542460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ersari |
E230190
|
entity |
| Predicate | languageDialect |
P1762
|
FINISHED |
| Object | Ersari dialect of Turkmen |
E16633
|
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: Ersari dialect of Turkmen | Statement: [Ersari, languageDialect, Ersari dialect of Turkmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ersari dialect of Turkmen Context triple: [Ersari, languageDialect, Ersari dialect of Turkmen]
-
A.
Turkmen language
chosen
The Turkmen language is a Turkic language spoken primarily in Turkmenistan and surrounding regions, closely related to Turkish and other Oghuz languages.
-
B.
Saryk dialect
The Saryk dialect is a regional variety of the Turkmen language traditionally spoken by the Saryk Turkmen people of Central Asia.
-
C.
Khunzakh dialect
The Khunzakh dialect is a regional variety of the Avar language spoken in and around the village of Khunzakh in Dagestan, Russia.
-
D.
Buynaksk dialect
The Buynaksk dialect is a regional variety of the Kumyk language spoken around the city of Buynaksk in Dagestan, Russia.
-
E.
Turu dialect
Turu dialect is a regional variety of the Berom language spoken by Berom communities in parts of central Nigeria.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e9be048190bf1f01884ff7c362 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c6538b08190a9f81304214a876d |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8:01 p.m.