Triple
T16837184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dzungar people |
E409312
|
entity |
| Predicate | mainTribes |
P13151
|
FINISHED |
| Object | Bayad |
E1129170
|
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: Bayad | Statement: [Dzungar people, mainTribes, Bayad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayad Context triple: [Dzungar people, mainTribes, Bayad]
-
A.
Bayad
Bayad is a settlement located in the Indian state of Gujarat, situated near the Vatrak River.
-
B.
Bayad
chosen
Bayad is a Mongolic Oirat tribe historically known as one of the major clans of western Mongolia and surrounding regions.
-
C.
Bayat
Bayat is a small town and district in western Turkey’s Afyonkarahisar Province, known for its rural character and traditional Anatolian culture.
-
D.
Nor Bayazet
Nor Bayazet is a historical name for a town in Armenia that served as the administrative center of the Novo-Bayazet uezd in the Russian Empire.
-
E.
Basay
Basay is a coastal municipality in the province of Negros Oriental in the Philippines, known for its fishing industry and natural attractions.
- 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.