Triple
T21996445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | フィリピン・ルソン島 |
E543217
|
entity |
| Predicate | 別名 |
P39
|
FINISHED |
| Object | ルソン島 |
—
|
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: ルソン島 | Statement: [フィリピン・ルソン島, 別名, ルソン島]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ルソン島 Context triple: [フィリピン・ルソン島, 別名, ルソン島]
-
A.
フィリピン・ルソン島
chosen
フィリピン・ルソン島は、首都マニラを擁するフィリピン最大の島であり、政治・経済・文化の中心地となっている島である。
-
B.
Panaitan Island
Panaitan Island is a largely uninhabited island off the western tip of Java, Indonesia, known for its pristine marine ecosystems, world-class surf breaks, and inclusion within the protected Ujung Kulon National Park.
-
C.
Malapascua Island
Malapascua Island is a small Philippine island in the Visayas renowned for its pristine beaches and as one of the world’s few reliable dive spots to see thresher sharks.
-
D.
Panay Island
Panay Island is a major island in the central Philippines known for its historic cities, agricultural production, and as the gateway to the popular beach destination of Boracay.
-
E.
Samar Island
Samar Island is a large island in the Eastern Visayas region of the Philippines, known for its rugged terrain, rich biodiversity, and distinct local culture.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12765fb0c81908f7b7acda065ee2f |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:19 p.m.