Triple
T16837182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dzungar people |
E409312
|
entity |
| Predicate | mainTribes |
P13151
|
FINISHED |
| Object | Dörbet |
E1106364
|
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: Dörbet | Statement: [Dzungar people, mainTribes, Dörbet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dörbet Context triple: [Dzungar people, mainTribes, Dörbet]
-
A.
Dörbet
chosen
Dörbet is a historical Oirat Mongol tribe known for its role in the political and military affairs of Inner Asia.
-
B.
Durbach
Durbach is a wine-growing municipality in southwestern Germany, renowned for its vineyards and picturesque location in the Black Forest region.
-
C.
Radebeul
Radebeul is a town in the German state of Saxony, known for its wine-growing tradition and association with the writer Karl May.
-
D.
Neudrossenfeld
Neudrossenfeld is a municipality in the Kulmbach district of northern Bavaria, Germany, known for its rural character and Franconian cultural heritage.
-
E.
Boshof
Boshof is a small town in South Africa’s Free State province, historically known for its agricultural economy and role in the Anglo-Boer War.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b34e080c8190bf7a236205b41db2 |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb15c9f48190a4d73bb08a15beb4 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:23 a.m.