Triple
T9669549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuvan |
E233990
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Southeastern Tuvan |
E233990
|
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: Southeastern Tuvan | Statement: [Tuvan, hasDialects, Southeastern Tuvan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southeastern Tuvan Context triple: [Tuvan, hasDialects, Southeastern Tuvan]
-
A.
Tuvan
chosen
Tuvan is a Turkic language spoken primarily in the Tuva Republic of Russia, known for its rich oral traditions and association with Tuvan throat singing.
-
B.
Lower Tanana language
The Lower Tanana language is an endangered Northern Athabaskan language traditionally spoken by the Tanana people in the interior region of Alaska.
-
C.
Tsakhur language
The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
-
D.
Altai language
The Altai language is a Turkic language spoken primarily in Russia’s Altai Republic and surrounding regions by the indigenous Altai people.
-
E.
Khakas language
Khakas language is a Turkic language spoken primarily by the Khakas people in the Republic of Khakassia in south-central Siberia, Russia.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3d5b3481908c8c66a3528875aa |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f70597c81909d461b3d935b02a5 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:15 p.m.