Triple
T18339730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daigo-ji |
E439367
|
entity |
| Predicate | hasImportantBuilding |
P112855
|
FINISHED |
| Object |
Sanbō-in
Sanbō-in is a historic sub-temple and garden complex within Kyoto’s Daigo-ji, renowned for its elegant Momoyama-period architecture and celebrated landscape design.
|
E1538068
|
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: Sanbō-in | Statement: [Daigo-ji, hasImportantBuilding, Sanbō-in]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanbō-in Context triple: [Daigo-ji, hasImportantBuilding, Sanbō-in]
-
A.
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.
-
B.
Shōsan-ji
Shōsan-ji is a Buddhist temple in Tokushima Prefecture, Japan, known as Temple 12 on the Shikoku Pilgrimage.
-
C.
Shiromine-ji
Shiromine-ji is a Buddhist temple in Kagawa Prefecture, Japan, known as Temple 81 on the Shikoku Pilgrimage.
-
D.
Jakkō-in
Jakkō-in is a historic Buddhist nunnery in Ōhara, Kyoto, known for its secluded mountain setting and association with figures of the late Heian period.
-
E.
Juraku-ji
Juraku-ji is a Buddhist temple in Japan known as Temple 7 on the Shikoku Pilgrimage route.
- 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: Sanbō-in Triple: [Daigo-ji, hasImportantBuilding, Sanbō-in]
Generated description
Sanbō-in is a historic sub-temple and garden complex within Kyoto’s Daigo-ji, renowned for its elegant Momoyama-period architecture and celebrated landscape design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanbō-in Target entity description: Sanbō-in is a historic sub-temple and garden complex within Kyoto’s Daigo-ji, renowned for its elegant Momoyama-period architecture and celebrated landscape design.
-
A.
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.
-
B.
Shōsan-ji
Shōsan-ji is a Buddhist temple in Tokushima Prefecture, Japan, known as Temple 12 on the Shikoku Pilgrimage.
-
C.
Shiromine-ji
Shiromine-ji is a Buddhist temple in Kagawa Prefecture, Japan, known as Temple 81 on the Shikoku Pilgrimage.
-
D.
Jakkō-in
Jakkō-in is a historic Buddhist nunnery in Ōhara, Kyoto, known for its secluded mountain setting and association with figures of the late Heian period.
-
E.
Juraku-ji
Juraku-ji is a Buddhist temple in Japan known as Temple 7 on the Shikoku Pilgrimage route.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ed07db48190a15e957c96b1c5bf |
completed | April 19, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c5343a88190b48e4beca0e779aa |
completed | May 18, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0b0ce561e88190b1cd82bb7786f296 |
completed | May 18, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0d9ce0148190b0cda6c97b84d399 |
completed | May 18, 2026, 1:01 p.m. |
Created at: April 10, 2026, 10:37 a.m.