Triple
T9206470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zojo-ji Temple |
E220992
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Yuyo Shoso
Yuyo Shoso was a Buddhist priest credited with establishing the historic Zojo-ji Temple in Tokyo, a major center of Jodo (Pure Land) Buddhism.
|
E785920
|
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: Yuyo Shoso | Statement: [Zojo-ji Temple, foundedBy, Yuyo Shoso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuyo Shoso Context triple: [Zojo-ji Temple, foundedBy, Yuyo Shoso]
-
A.
Bōkū Shireibu
Bōkū Shireibu is the former Air Defense Command of Japan’s Air Self-Defense Force, responsible for overseeing the nation’s air defense operations.
-
B.
Aishō
Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
-
C.
Oi no Kobumi
Oi no Kobumi is a travel diary by the renowned Japanese haiku poet Matsuo Bashō, recording his later journeys and reflections in prose and verse.
-
D.
Sakumono
Sakumono is a coastal suburban community in the Greater Accra Region of Ghana, known for its residential estates and proximity to the Sakumono Lagoon and beach.
-
E.
Bansho Shirabesho
Bansho Shirabesho was a late Edo-period Japanese government institute dedicated to studying and translating Western (primarily Dutch and later English) books and sciences.
- 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: Yuyo Shoso Triple: [Zojo-ji Temple, foundedBy, Yuyo Shoso]
Generated description
Yuyo Shoso was a Buddhist priest credited with establishing the historic Zojo-ji Temple in Tokyo, a major center of Jodo (Pure Land) Buddhism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuyo Shoso Target entity description: Yuyo Shoso was a Buddhist priest credited with establishing the historic Zojo-ji Temple in Tokyo, a major center of Jodo (Pure Land) Buddhism.
-
A.
Bōkū Shireibu
Bōkū Shireibu is the former Air Defense Command of Japan’s Air Self-Defense Force, responsible for overseeing the nation’s air defense operations.
-
B.
Aishō
Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
-
C.
Oi no Kobumi
Oi no Kobumi is a travel diary by the renowned Japanese haiku poet Matsuo Bashō, recording his later journeys and reflections in prose and verse.
-
D.
Sakumono
Sakumono is a coastal suburban community in the Greater Accra Region of Ghana, known for its residential estates and proximity to the Sakumono Lagoon and beach.
-
E.
Bansho Shirabesho
Bansho Shirabesho was a late Edo-period Japanese government institute dedicated to studying and translating Western (primarily Dutch and later English) books and sciences.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b0b6788190908bee67a0c5d48f |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065e09fbc81908159b386038b3d73 |
completed | April 4, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69d0676ea53c81908b16dfce6810f6b0 |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0684c1a108190bc7fdfdced16e24c |
completed | April 4, 2026, 1:24 a.m. |
Created at: March 30, 2026, 7:26 p.m.