Triple
T19314866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanto Shichi Daiji |
E483068
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Daian-ji
Daian-ji is an ancient Buddhist temple in Nara, Japan, historically counted among the prestigious Seven Great Temples of the Southern Capital.
|
E1552777
|
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: Daian-ji | Statement: [Nanto Shichi Daiji, hasMember, Daian-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daian-ji Context triple: [Nanto Shichi Daiji, hasMember, Daian-ji]
-
A.
Daikō-ji
Daikō-ji is a Buddhist temple in Japan known as Temple 67 on the Shikoku Pilgrimage route.
-
B.
Daihō-ji
Daihō-ji is a Buddhist temple in Japan known as Temple 44 on the Shikoku Pilgrimage route.
-
C.
Daigo-ji
Daigo-ji is a historic Buddhist temple complex in Kyoto, Japan, renowned for its association with Shingon Buddhism, ancient pagoda, and UNESCO World Heritage status.
-
D.
Shitenno-ji
Shitenno-ji is one of Japan’s oldest Buddhist temples, founded in Osaka in the 6th century and renowned as a major historical and religious site.
-
E.
Seigan-ji
Seigan-ji is an early Buddhist temple on Japan’s Mount Kōya that served as the predecessor to the prominent Shingon headquarters temple Kongōbu-ji.
- 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: Daian-ji Triple: [Nanto Shichi Daiji, hasMember, Daian-ji]
Generated description
Daian-ji is an ancient Buddhist temple in Nara, Japan, historically counted among the prestigious Seven Great Temples of the Southern Capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daian-ji Target entity description: Daian-ji is an ancient Buddhist temple in Nara, Japan, historically counted among the prestigious Seven Great Temples of the Southern Capital.
-
A.
Daikō-ji
Daikō-ji is a Buddhist temple in Japan known as Temple 67 on the Shikoku Pilgrimage route.
-
B.
Daihō-ji
Daihō-ji is a Buddhist temple in Japan known as Temple 44 on the Shikoku Pilgrimage route.
-
C.
Daigo-ji
Daigo-ji is a historic Buddhist temple complex in Kyoto, Japan, renowned for its association with Shingon Buddhism, ancient pagoda, and UNESCO World Heritage status.
-
D.
Shitenno-ji
Shitenno-ji is one of Japan’s oldest Buddhist temples, founded in Osaka in the 6th century and renowned as a major historical and religious site.
-
E.
Seigan-ji
Seigan-ji is an early Buddhist temple on Japan’s Mount Kōya that served as the predecessor to the prominent Shingon headquarters temple Kongōbu-ji.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604cfec8c8190a118b327b1418150 |
completed | April 20, 2026, 10:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b97fc2600819085486a9d540c9df3 |
completed | May 18, 2026, 10:51 p.m. |
| NEDg | Description generation | batch_6a0b9884cb548190958d16f42be4bea8 |
completed | May 18, 2026, 10:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b98e7887881909ec9cc4a2a2167c5 |
completed | May 18, 2026, 10:55 p.m. |
Created at: April 10, 2026, 1:32 p.m.