Triple
T16707892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomsk Oblast |
E406019
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Evenks |
E143183
|
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: Evenks | Statement: [Tomsk Oblast, hasEthnicGroup, Evenks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evenks Context triple: [Tomsk Oblast, hasEthnicGroup, Evenks]
-
A.
Evenks
chosen
The Evenks are an Indigenous Tungusic people of northern Asia known for their traditional reindeer herding, hunting lifestyle, and rich shamanistic cultural heritage.
-
B.
Akhasheni
Akhasheni is a Georgian red wine appellation from the Kakheti region, known for its naturally semi-sweet wines made primarily from Saperavi grapes.
-
C.
Torguts
The Torguts are a subgroup of the Oirat Mongols historically known for their westward migration to the Volga region and the formation of the Kalmyk Khanate.
-
D.
Ennesi
Ennesi are the inhabitants or natives of the city of Enna in central Sicily, Italy.
-
E.
Lules
Lules is a town in northwestern Argentina known for its agricultural production and proximity to the provincial capital of San Miguel de Tucumán.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38337ecac8190bc4a9410ed7681ab |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a50eac81908af26a5131bf0a6c |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:20 a.m.