Triple
T4838098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Öndörkhaan |
E108111
|
entity |
| Predicate | renamedAs |
P65
|
FINISHED |
| Object | Chinggis City |
E475426
|
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: Chinggis City | Statement: [Öndörkhaan, renamedAs, Chinggis City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chinggis City Context triple: [Öndörkhaan, renamedAs, Chinggis City]
-
A.
Chinggis City
chosen
Chinggis City is a town in eastern Mongolia that serves as the capital of Khentii Province and is named in honor of Genghis Khan.
-
B.
Borjigin
Borjigin is the royal clan of Genghis Khan and his descendants, forming the ruling lineage of the Mongol Empire and several successor states.
-
C.
Daiyuan
Daiyuan is a given name most notably associated with Teng Daiyuan, a prominent Chinese Communist revolutionary and political leader.
-
D.
Chardzhou
Chardzhou is the former name of Turkmenabat, a major city in eastern Turkmenistan located on the Amu Darya River.
-
E.
Shangdu
Shangdu was the summer capital of Kublai Khan’s Yuan dynasty in China, later immortalized in Western literature as the fabled city of Xanadu.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce2e810819089f9a3f2a7574d44 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67d449188190a2f02fa30aee4891 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:25 p.m.