Triple
T9823596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanya |
E238596
|
entity |
| Predicate | hasFamousBeach |
P1922
|
FINISHED |
| Object | Yalong Bay |
E241856
|
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: Yalong Bay | Statement: [Sanya, hasFamousBeach, Yalong Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yalong Bay Context triple: [Sanya, hasFamousBeach, Yalong Bay]
-
A.
Yalong Bay
chosen
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.
-
B.
Dapeng Bay
Dapeng Bay is a coastal bay in southeastern Shenzhen, China, known for its scenic shoreline, maritime activities, and role as a natural harbor near the Dapeng Peninsula.
-
C.
Dapeng Bay
Dapeng Bay is a coastal lagoon and scenic area in southern Taiwan known for its wetlands, marine ecology, and recreational waterfront activities.
-
D.
Bai Tu Long Bay
Bai Tu Long Bay is a scenic bay in northeastern Vietnam known for its limestone karst islands, emerald waters, and quieter, less-touristed alternative to nearby Ha Long Bay.
-
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_69d1cc810bac8190a5ff94c0717e7706 |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:31 p.m.