Triple
T16059393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kakuban |
E389566
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Kōgyō Daishi |
E266796
|
NE FINISHED |
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: Kōgyō Daishi | Statement: [Kakuban, alternateName, Kōgyō Daishi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kōgyō Daishi Context triple: [Kakuban, alternateName, Kōgyō Daishi]
-
A.
Nishiarai Daishi
Nishiarai Daishi is a prominent Buddhist temple in Tokyo, Japan, known as a major pilgrimage site dedicated to warding off misfortune and bringing good luck.
-
B.
Dengyō Daishi
Dengyō Daishi, also known as Saichō, was a Japanese Buddhist monk of the early Heian period who established the influential Tendai school on Mount Hiei and helped shape the course of Japanese Buddhism.
-
C.
Daisaku
Daisaku is a Japanese given name most notably borne by Daisaku Ikeda, the Buddhist philosopher, educator, and longtime president of the Soka Gakkai movement.
-
D.
Gyōki
chosen
Gyōki was an influential Japanese Buddhist monk of the Nara period known for his public works, social welfare activities, and role in promoting Buddhism among the common people.
-
E.
Wakamiya Ōji
Wakamiya Ōji is the main ceremonial avenue of Kamakura, Japan, leading from the waterfront through the city to Tsurugaoka Hachimangū Shrine.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837729e4819086e7429e0a76b0d7 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00179fc28481909e1c46af343676ff |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 4:57 a.m.