Triple
T2710759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changzhou |
E59852
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Jiangnan |
E37623
|
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: Jiangnan | Statement: [Changzhou, historicalRegion, Jiangnan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jiangnan Context triple: [Changzhou, historicalRegion, Jiangnan]
-
A.
Qujing
Qujing is a major prefecture-level city in eastern Yunnan Province, China, known as an important regional transportation and industrial hub.
-
B.
Yangtze River Delta
chosen
The Yangtze River Delta is a highly urbanized and economically vital region in eastern China, centered around the lower reaches of the Yangtze River and including major cities such as Shanghai.
-
C.
Wujing
Wujing is a residential town in Shanghai, China, located within the city's Minhang District.
-
D.
Guguan
Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
-
E.
Puxi
Puxi is the historic, densely urbanized western part of Shanghai, known for its traditional neighborhoods, commercial districts, and cultural landmarks.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda78c4f08190bb1217f08198c4cc |
completed | March 7, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf820e6c8190bc37219eadd57e86 |
completed | March 10, 2026, 5:43 a.m. |
Created at: March 6, 2026, 9:55 p.m.