Triple
T19793540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiger Hill |
E475479
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Suzhou Old Town |
—
|
NE NERFINISHED |
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: Suzhou Old Town | Statement: [Tiger Hill, near, Suzhou Old Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzhou Old Town Context triple: [Tiger Hill, near, Suzhou Old Town]
-
A.
Suzhou
chosen
Suzhou is a historic and economically significant city in eastern China, renowned for its classical gardens, canals, and silk industry.
-
B.
Songjiang Old Town
Songjiang Old Town is a historic district in Shanghai known for its ancient architecture, traditional waterways, and well-preserved cultural heritage.
-
C.
Wuzhen
Wuzhen is a historic water town in eastern China known for its ancient canals, traditional architecture, and cultural tourism.
-
D.
Jiangnan water towns
Jiangnan water towns are a group of historic canal-based settlements in the Yangtze River Delta, famed for their traditional architecture, stone bridges, and picturesque waterways.
-
E.
Zhouzhuang
Zhouzhuang is one of China’s most famous ancient water towns, renowned for its well-preserved canals, stone bridges, and traditional Jiangnan architecture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c4a8a88190afc2f2cd1ebbbe1e |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.