Triple
T14383319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple 31: Chikurinji |
E356660
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Chikurin-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: Chikurin-ji | Statement: [Temple 31: Chikurinji, hasAlternativeName, Chikurin-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chikurin-ji Context triple: [Temple 31: Chikurinji, hasAlternativeName, Chikurin-ji]
-
A.
Juraku-ji
Juraku-ji is a Buddhist temple in Japan known as Temple 7 on the Shikoku Pilgrimage route.
-
B.
Kenchō-ji
Kenchō-ji is a historic Zen Buddhist temple in Kamakura, Japan, renowned as one of the oldest and most important Zen training monasteries in the country.
-
C.
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.
-
D.
Chugu-ji
Chugu-ji is a historic Buddhist nunnery temple in Nara, Japan, renowned for its elegant Asuka-period wooden statue of a contemplative bodhisattva.
-
E.
Kakurin-ji Temple
chosen
Kakurin-ji Temple is a historic Buddhist temple in Kakogawa, Japan, renowned for its ancient architecture and cultural significance.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900d28c88190a37feee4743563de |
completed | April 14, 2026, 7:05 p.m. |
Created at: April 10, 2026, 1:16 a.m.