Triple
T20899388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuvinian language |
E514628
|
entity |
| Predicate | altName |
P39
|
FINISHED |
| Object | Tyvan language |
—
|
NE NERFINISHED |
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: Tyvan language | Statement: [Tuvinian language, altName, Tyvan language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyvan language Context triple: [Tuvinian language, altName, Tyvan language]
-
A.
Tsakhur language
The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
-
B.
Denya language
Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
-
C.
Shughni language
Shughni is an Eastern Iranian language spoken primarily in the Pamir region of Tajikistan and Afghanistan, known for its rich oral tradition and use among Shughni ethnic communities.
-
D.
Chulym language
The Chulym language is a critically endangered Turkic language spoken by a small indigenous community in Siberia, Russia.
-
E.
Tuvinian language
chosen
The Tuvinian language is a Turkic language spoken primarily in the Tuva Republic of Russia, known for its rich oral traditions and use in Tuvan throat singing culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8f92bd88190b59b2131ad1d9aa1 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.