Triple
T23138572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Хан-Уул дүүрэг |
E577392
|
entity |
| Predicate | urbanPartOf |
P37938
|
FINISHED |
| Object | Улаанбаатарын төвийн бүс |
—
|
LITERAL 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: Улаанбаатарын төвийн бүс | Statement: [Хан-Уул дүүрэг, urbanPartOf, Улаанбаатарын төвийн бүс]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanPartOf Context triple: [Хан-Уул дүүрэг, urbanPartOf, Улаанбаатарын төвийн бүс]
-
A.
isUrbanSectionOf
Indicates that one area or segment is the part of a larger entity that lies within an urban or city environment.
-
B.
regionOfCity
chosen
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
-
C.
partOfMetropolitanArea
Indicates that one place is included within and belongs to the larger metropolitan area of another place.
-
D.
inCityDistrict
Indicates that one entity is located within the boundaries of a specific city district.
-
E.
urbanComponent
Indicates that something functions as a constituent part or element within an urban area or city system.
- F. None of above.
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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8d6c20819085e8c2f97bc7fd5d |
completed | April 29, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4 p.m.