Triple
T14565487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東沙環礁 |
E341773
|
entity |
| Predicate | 別名 |
P39
|
FINISHED |
| Object | Pratas Islands |
E68524
|
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: Pratas Islands | Statement: [東沙環礁, 別名, Pratas Islands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pratas Islands Context triple: [東沙環礁, 別名, Pratas Islands]
-
A.
Pratas Islands
chosen
The Pratas Islands are a small, strategically located atoll in the northern South China Sea administered by Taiwan but also claimed by China.
-
B.
Subi Islands
The Subi Islands are a small island group within Indonesia’s Natuna archipelago in the South China Sea, known for their strategic maritime location and rich surrounding marine biodiversity.
-
C.
Tayando Islands
The Tayando Islands are a small archipelago in Indonesia’s Maluku province, known for their remote location, coral-rich seas, and traditional island communities.
-
D.
Trang Islands
The Trang Islands are a group of picturesque, relatively undeveloped islands in the Andaman Sea known for their white-sand beaches, limestone cliffs, and rich marine life.
-
E.
Wala Islands
Wala Islands are a small group of islands in northern Vanuatu known for their local communities and use of the Uripiv-Wala-Rano-Atchin language.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38c6350819091090ffd15772f6f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56afa5ec8190a058574dff7431dc |
completed | May 9, 2026, 3:45 p.m. |
Created at: April 10, 2026, 1:23 a.m.