Triple
T5572494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asuka |
E146234
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Oka-dera
Oka-dera is a historic Buddhist temple in Japan’s Asuka region, known for its ancient origins and scenic hillside setting.
|
E543222
|
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: Oka-dera | Statement: [Asuka, contains, Oka-dera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oka-dera Context triple: [Asuka, contains, Oka-dera]
-
A.
Dogenzaka
Dogenzaka is a lively entertainment and shopping district in Shibuya, Tokyo, known for its nightlife, restaurants, and proximity to the famous Shibuya Crossing.
-
B.
Kasuga
Kasuga was a Japanese warship active in the late 19th century, notably serving in the Boshin War as part of the modern Imperial forces.
-
C.
Kasuga
Kasuga is a suburban city in Japan known for its residential communities and proximity to Fukuoka City on Kyushu Island.
-
D.
Yamashina-dera
Yamashina-dera was an early Buddhist temple in Japan that served as the predecessor and original site of the influential Kōfuku-ji temple associated with the powerful Fujiwara clan.
-
E.
Sendagaya
Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
- 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: Oka-dera Triple: [Asuka, contains, Oka-dera]
Generated description
Oka-dera is a historic Buddhist temple in Japan’s Asuka region, known for its ancient origins and scenic hillside setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oka-dera Target entity description: Oka-dera is a historic Buddhist temple in Japan’s Asuka region, known for its ancient origins and scenic hillside setting.
-
A.
Dogenzaka
Dogenzaka is a lively entertainment and shopping district in Shibuya, Tokyo, known for its nightlife, restaurants, and proximity to the famous Shibuya Crossing.
-
B.
Kasuga
Kasuga is a suburban city in Japan known for its residential communities and proximity to Fukuoka City on Kyushu Island.
-
C.
Kasuga
Kasuga was a Japanese warship active in the late 19th century, notably serving in the Boshin War as part of the modern Imperial forces.
-
D.
Yamashina-dera
Yamashina-dera was an early Buddhist temple in Japan that served as the predecessor and original site of the influential Kōfuku-ji temple associated with the powerful Fujiwara clan.
-
E.
Sendagaya
Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
- 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_69c020518f348190879ac67dab307134 |
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.