Triple
T6226713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khan-Uul District |
E139250
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Capital City of Ulaanbaatar |
E24958
|
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: Capital City of Ulaanbaatar | Statement: [Khan-Uul District, partOf, Capital City of Ulaanbaatar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capital City of Ulaanbaatar Context triple: [Khan-Uul District, partOf, Capital City of Ulaanbaatar]
-
A.
Ulaanbaatar
chosen
Ulaanbaatar is the capital and largest city of Mongolia, serving as its political, economic, and cultural center.
-
B.
Öndörkhaan, Mongolia
Öndörkhaan is a town in eastern Mongolia known historically as the site where Chinese marshal Lin Biao died in a 1971 plane crash.
-
C.
Ulanqab
Ulanqab is a prefecture-level city in central Inner Mongolia, China, known for its grassland landscapes, agriculture, and strategic position as a transportation hub.
-
D.
Central Post Office of Ulaanbaatar
The Central Post Office of Ulaanbaatar is a major postal and communications hub and a well-known landmark in Mongolia’s capital city.
-
E.
Hohhot
Hohhot is the capital and largest city of Inner Mongolia in northern China, known as a regional center of politics, culture, and industry.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d5403081908effc8330bda3f0a |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20dda7f80819085c0d6501a54f931 |
completed | March 24, 2026, 4:06 a.m. |
Created at: March 22, 2026, 4:22 p.m.