Triple
T9823598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanya |
E238596
|
entity |
| Predicate | hasFamousBeach |
P1922
|
FINISHED |
| Object | Sanya Bay |
E820820
|
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: Sanya Bay | Statement: [Sanya, hasFamousBeach, Sanya Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanya Bay Context triple: [Sanya, hasFamousBeach, Sanya Bay]
-
A.
Sanya Bay
chosen
Sanya Bay is a popular coastal tourist area in Sanya, Hainan, China, known for its long sandy beaches, tropical scenery, and seaside resorts along the South China Sea.
-
B.
Yalong Bay
Yalong Bay is a popular tropical beach resort area on the southern coast of Hainan Island in China, known for its white sand beaches, clear waters, and upscale hotels.
-
C.
Lan Ha Bay
Lan Ha Bay is a scenic bay in northern Vietnam known for its emerald waters, limestone karsts, and quieter, less-touristed alternative to nearby Ha Long Bay.
-
D.
Fulong Beach
Fulong Beach is a popular sandy seaside resort on Taiwan’s northeast coast, known for its golden beach, summer music festivals, and water activities.
-
E.
Xiaomeisha Beach
Xiaomeisha Beach is a popular seaside resort area in Shenzhen, China, known for its sandy shoreline, recreational facilities, and coastal scenery.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb316f8948190ada3738787a5cb6a |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5b9110881909405d94e0db40eac |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:31 p.m.