Triple
T16837183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dzungar people |
E409312
|
entity |
| Predicate | mainTribes |
P13151
|
FINISHED |
| Object | Khoid |
E1106367
|
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: Khoid | Statement: [Dzungar people, mainTribes, Khoid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khoid Context triple: [Dzungar people, mainTribes, Khoid]
-
A.
Khoid
chosen
Khoid was a prominent Oirat Mongol tribe historically involved in the politics and military affairs of Inner Asia.
-
B.
Ghaur
Ghaur is a powerful Deviant priest and recurring Marvel Comics supervillain known for masterminding cosmic-scale schemes against heroes such as the Eternals and the Avengers.
-
C.
Gavrontsi
Gavrontsi is a village in present-day Ukraine known primarily as the birthplace of the 19th-century Russian-French diarist and painter Marie Bashkirtseff.
-
D.
Mahaba
Mahaba is a popular song by Tanzanian Bongo Flava artist Ali Kiba, known for its romantic theme and melodic style.
-
E.
Hadariba
Hadariba are an ethnic group of the Horn of Africa closely associated with the Beni-Amir people, sharing regional, cultural, and historical ties.
- 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.