Triple
T14567940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yangquan |
E341834
|
entity |
| Predicate | hasShortName |
P1354
|
FINISHED |
| Object | 阳泉 |
E1105786
|
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: 阳泉 | Statement: [Yangquan, hasShortName, 阳泉]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 阳泉 Context triple: [Yangquan, hasShortName, 阳泉]
-
A.
阳泉市
chosen
阳泉市是位于中国山西省中部、以煤炭工业和重工业为主的地级城市。
-
B.
Wolverhampton
Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
-
C.
Kent Valley
Kent Valley is a low-lying, historically agricultural and now heavily industrial and commercial floodplain region in King County, Washington, encompassing much of the city of Kent and surrounding areas.
-
D.
Yate
Yate is a town in South Gloucestershire, England, known as a residential and commercial centre north of Bristol.
-
E.
Abergavenny
Abergavenny is a historic market town in Monmouthshire, Wales, known as a gateway to the Brecon Beacons and for its annual food festival.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38d89fc819086709fd3607b835f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94b4013881908fddb8b3cf8494de |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:23 a.m.