Triple
T8658057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulanqab |
E205471
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Shanxi Province |
E64927
|
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: Shanxi Province | Statement: [Ulanqab, borderedBy, Shanxi Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shanxi Province Context triple: [Ulanqab, borderedBy, Shanxi Province]
-
A.
Shanxi Province
chosen
Shanxi Province is a landlocked region in northern China known for its rich coal resources, well-preserved ancient architecture, and significant historical and cultural heritage.
-
B.
Shaanxi Province
Shaanxi Province is a landlocked region in north-central China known for its historical capital Xi'an and the Terracotta Army of Emperor Qin Shi Huang.
-
C.
Shuozhou
Shuozhou is a prefecture-level city in northern China known for its coal resources and historical sites within Shanxi Province.
-
D.
Fenyang, Shanxi
Fenyang, Shanxi is a county-level city in central Shanxi Province, China, known for its historical heritage and as the hometown of acclaimed film director Jia Zhangke.
-
E.
Kansu
Kansu is a Turkish surname most notably associated with Şevket Aziz Kansu, a prominent Turkish academic and anthropologist.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc486d576081908ad28749c7971432 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccec941881908263cd3205f10ccd |
completed | April 2, 2026, 8:09 p.m. |
Created at: March 30, 2026, 6:30 p.m.