Triple
T5571493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 本間雅晴 |
E146211
|
entity |
| Predicate | 死亡地 |
P21
|
FINISHED |
| Object |
フィリピン・ルソン島
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。
|
E543217
|
NE FINISHED |
How this triple was built (4 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: フィリピン・ルソン島 | Statement: [本間雅晴, 死亡地, フィリピン・ルソン島]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: フィリピン・ルソン島 Context triple: [本間雅晴, 死亡地, フィリピン・ルソン島]
-
A.
Cebu Island
Cebu Island is a major island in the central Philippines known for its historic city of Cebu, vibrant commerce, and popular beach and dive destinations.
-
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.
Bohol Island
Bohol Island is a popular island province in the central Philippines known for its Chocolate Hills, tarsier sanctuaries, and white-sand beaches.
-
D.
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.
-
E.
Pomorye
Pomorye is a historical coastal region of northern Russia along the White Sea, traditionally inhabited by the Pomors and known for maritime trade and exploration.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: フィリピン・ルソン島 Triple: [本間雅晴, 死亡地, フィリピン・ルソン島]
Generated description
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。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: フィリピン・ルソン島 Target entity description: 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。
-
A.
Cebu Island
Cebu Island is a major island in the central Philippines known for its historic city of Cebu, vibrant commerce, and popular beach and dive destinations.
-
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.
Bohol Island
Bohol Island is a popular island province in the central Philippines known for its Chocolate Hills, tarsier sanctuaries, and white-sand beaches.
-
D.
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.
-
E.
Pomorye
Pomorye is a historical coastal region of northern Russia along the White Sea, traditionally inhabited by the Pomors and known for maritime trade and exploration.
- F. None of above. chosen
Provenance (5 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020502a288190af37f9ebb88fccae |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07d7e791c8190bf493d9a3334a5bd |
completed | March 22, 2026, 11:38 p.m. |
| NEDg | Description generation | batch_69c0882503cc819093f44ec056373d8c |
completed | March 23, 2026, 12:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0887afa7881908718c5ec10d932a0 |
completed | March 23, 2026, 12:25 a.m. |
Created at: March 22, 2026, 3:37 p.m.