Triple
T21343844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woody Island |
E526274
|
entity |
| Predicate | capitalOf |
P204
|
FINISHED |
| Object | Sansha City |
—
|
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: Sansha City | Statement: [Woody Island, capitalOf, Sansha City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sansha City Context triple: [Woody Island, capitalOf, Sansha City]
-
A.
Sansha City
chosen
Sansha City is a prefecture-level city established by China to administer several disputed island groups and surrounding waters in the South China Sea.
-
B.
Jiande
Jiande was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
-
C.
Jiande
Jiande is a county-level city in Zhejiang Province, China, known for its scenic landscapes along the Fuchun River and its mix of historical and modern urban development.
-
D.
Yuhuan City
Yuhuan City is a county-level coastal city under the administration of Taizhou in Zhejiang Province, China, known for its marine economy and island landscapes.
-
E.
Jiangshan
Jiangshan is a county-level city in western Zhejiang Province, China, administered by the prefecture-level city of Quzhou.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a85274f481909e699b390bed9350 |
completed | April 22, 2026, 10:52 a.m. |
Created at: April 16, 2026, 4:44 p.m.