Triple
T22847331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulaanbaatar City Museum |
E566258
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ulaanbaatar, Mongolia |
—
|
NE NERFINISHED |
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, Mongolia | Statement: [Ulaanbaatar City Museum, locatedIn, Ulaanbaatar, Mongolia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulaanbaatar, Mongolia Context triple: [Ulaanbaatar City Museum, locatedIn, Ulaanbaatar, Mongolia]
-
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.
Ulaangom
Ulaangom is a small provincial capital in northwestern Mongolia, known for its remote location near the Russian border and Lake Uvs.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e89ab348190a31260221195ae67 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.