Triple
T13405416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DAI Ulaanbaatar Office |
E319942
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | 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: Ulaanbaatar | Statement: [DAI Ulaanbaatar Office, city, Ulaanbaatar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulaanbaatar Context triple: [DAI Ulaanbaatar Office, city, Ulaanbaatar]
-
A.
Ulaanbaatar
chosen
Ulaanbaatar is the capital and largest city of Mongolia, serving as its political, economic, and cultural center.
-
B.
Ulanhot
Ulanhot is a county-level city in northeastern Inner Mongolia, China, known as a regional political and economic center and as the birthplace of the Inner Mongolia Autonomous Region.
-
C.
Xilinhot
Xilinhot is a city in Inner Mongolia, China, known as an important regional center on the Xilingol grasslands with a strong pastoral and Mongolian cultural heritage.
-
D.
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.
-
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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4be498819094798473a1bfd853 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7307904608190ad647f741c08dc42 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.