Triple
T8012827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baisha Island |
E186534
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Magong |
E173986
|
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: Magong | Statement: [Baisha Island, locatedNear, Magong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magong Context triple: [Baisha Island, locatedNear, Magong]
-
A.
Magong
chosen
Magong is the main urban center and largest city of Taiwan’s Penghu (Pescadores) archipelago, serving as its political, economic, and transportation hub.
-
B.
Shekou
Shekou is a coastal district in Shenzhen, China, known as a major transportation and commercial hub with significant port facilities and expatriate communities.
-
C.
Magong Harbor
Magong Harbor is a key maritime port and transportation hub in Magong City on Taiwan’s Penghu Islands, serving both commercial shipping and passenger ferries.
-
D.
Beihai
Beihai is a coastal city in China's Guangxi Zhuang Autonomous Region, known for its beaches, maritime trade, and the scenic Silver Beach tourist area.
-
E.
Macau
Macau is a Special Administrative Region of China known for its blend of Portuguese and Chinese cultures and its major casino and tourism industry.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d73bf048190ad8066a7e95c34b0 |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93a8923081908402951d6490f8de |
completed | April 1, 2026, 3:40 a.m. |
Created at: March 30, 2026, 5:19 p.m.