Triple
T21302799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujisan Hongū Sengen Taisha |
E525111
|
entity |
| Predicate | hasEnshrinedDeity |
P5606
|
FINISHED |
| Object |
Asama Ōkami
Asama Ōkami is a Shinto kami primarily associated with Mount Fuji, revered as a deity of volcanoes, water, and protection from eruptions.
|
E1477533
|
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: Asama Ōkami | Statement: [Fujisan Hongū Sengen Taisha, hasEnshrinedDeity, Asama Ōkami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asama Ōkami Context triple: [Fujisan Hongū Sengen Taisha, hasEnshrinedDeity, Asama Ōkami]
-
A.
Hachiman Ōkami
Hachiman Ōkami is a major Shinto deity revered as the divine protector of Japan and its warriors, particularly associated with archery and the samurai class.
-
B.
Kuranosuke
Kuranosuke is the given name of Ōishi Kuranosuke, the historical leader of the Forty-seven rōnin in early 18th-century Japan.
-
C.
Go Shiina
Go Shiina is a Japanese composer known for his dramatic, richly orchestrated soundtracks for anime, video games, and television.
-
D.
Ishizuchi Ōkami
Ishizuchi Ōkami is a Shinto mountain deity associated with Mount Ishizuchi, revered for protection, strength, and spiritual power.
-
E.
Nakanobu
Nakanobu is a neighborhood in Tokyo, Japan, known for its traditional shopping streets and local residential atmosphere.
- 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: Asama Ōkami Triple: [Fujisan Hongū Sengen Taisha, hasEnshrinedDeity, Asama Ōkami]
Generated description
Asama Ōkami is a Shinto kami primarily associated with Mount Fuji, revered as a deity of volcanoes, water, and protection from eruptions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asama Ōkami Target entity description: Asama Ōkami is a Shinto kami primarily associated with Mount Fuji, revered as a deity of volcanoes, water, and protection from eruptions.
-
A.
Hachiman Ōkami
Hachiman Ōkami is a major Shinto deity revered as the divine protector of Japan and its warriors, particularly associated with archery and the samurai class.
-
B.
Kuranosuke
Kuranosuke is the given name of Ōishi Kuranosuke, the historical leader of the Forty-seven rōnin in early 18th-century Japan.
-
C.
Go Shiina
Go Shiina is a Japanese composer known for his dramatic, richly orchestrated soundtracks for anime, video games, and television.
-
D.
Ishizuchi Ōkami
Ishizuchi Ōkami is a Shinto mountain deity associated with Mount Ishizuchi, revered for protection, strength, and spiritual power.
-
E.
Nakanobu
Nakanobu is a neighborhood in Tokyo, Japan, known for its traditional shopping streets and local residential atmosphere.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385da340819083c07f353f2142b0 |
completed | April 21, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099ed108ec81909042b00955d5cd0c |
completed | May 17, 2026, 10:56 a.m. |
| NEDg | Description generation | batch_6a099f592488819098c54b433ce5e67e |
completed | May 17, 2026, 10:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09a033f5108190b8000934050ad55e |
completed | May 17, 2026, 11:02 a.m. |
Created at: April 16, 2026, 4:05 p.m.