Triple
T12576387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monguor (Tu) language |
E300215
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Datong Monguor |
E993659
|
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: Datong Monguor | Statement: [Monguor (Tu) language, hasDialect, Datong Monguor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Datong Monguor Context triple: [Monguor (Tu) language, hasDialect, Datong Monguor]
-
A.
Borjigin
Borjigin is the royal clan of Genghis Khan and his descendants, forming the ruling lineage of the Mongol Empire and several successor states.
-
B.
Ordos
Ordos is a major city and prefecture-level region in southwestern Inner Mongolia, China, known for its vast coal reserves, rapid urban development, and the famous Kangbashi New Area.
-
C.
Zalingei
Zalingei is a major city in the Darfur region of western Sudan, serving as an important administrative and commercial center.
-
D.
Minhe Monguor
chosen
Minhe Monguor is a Mongolic language variety spoken by the Monguor (Tu) people in Minhe County, Qinghai Province, China.
-
E.
Hulunbuir
Hulunbuir is a vast prefecture-level city in northeastern China renowned for its expansive grasslands, diverse ethnic cultures, and rich natural resources.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a629fc8190a1c3b6777aad4527 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67190a20c8190918b465b67d25869 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 4:47 p.m.