Triple
T7192180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otsu |
E167718
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object | Jiujiang |
E265194
|
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: Jiujiang | Statement: [Otsu, hasSisterCity, Jiujiang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jiujiang Context triple: [Otsu, hasSisterCity, Jiujiang]
-
A.
Jiujiang
chosen
Jiujiang is a historic port city on the southern shores of the Yangtze River in southeastern China, known as a regional transport hub and gateway to the famous Lushan Mountain scenic area.
-
B.
Ruijin
Ruijin is a county-level city in southeastern China historically known as the "Cradle of the Chinese Revolution" for its role as an early center of Communist activity and the starting point of the Long March.
-
C.
Nanchang
Nanchang is the capital and largest city of Jiangxi Province in southeastern China, known as an important regional industrial and transportation hub.
-
D.
Ganzhou
Ganzhou is a major prefecture-level city in southern Jiangxi Province, China, known as a regional economic and transportation hub with a long history and rich cultural heritage.
-
E.
Qianjiang
Qianjiang is a city in China known for its regional industry and cultural exchanges, including international town twinning partnerships.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e901ea1481908a9e44f96dd4b553 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d37cfb8c8190a788dcaa1080fb0b |
completed | March 28, 2026, 1:11 p.m. |
Created at: March 27, 2026, 2:50 p.m.