Triple
T19390389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Great Temples of Nara |
E485049
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Saidai-ji |
—
|
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: Saidai-ji | Statement: [Seven Great Temples of Nara, hasMember, Saidai-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saidai-ji Context triple: [Seven Great Temples of Nara, hasMember, Saidai-ji]
-
A.
Saidai-ji
chosen
Saidai-ji is a historic Buddhist temple in Nara, Japan, renowned as one of the major temples of the ancient Nara period.
-
B.
Daihō-ji
Daihō-ji is a Buddhist temple in Japan known as Temple 44 on the Shikoku Pilgrimage route.
-
C.
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.
-
D.
Daikō-ji
Daikō-ji is a Buddhist temple in Japan known as Temple 67 on the Shikoku Pilgrimage route.
-
E.
Kodai-ji
Kodai-ji is a historic Zen Buddhist temple in Kyoto renowned for its beautiful gardens, traditional architecture, and connections to the warlord Toyotomi Hideyoshi.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b44b70c81908e2f0deeabe4360f |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.