Triple
T15484340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ishiteji |
E377003
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Ishite-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: Ishite-ji | Statement: [Ishiteji, hasAlternativeName, Ishite-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ishite-ji Context triple: [Ishiteji, hasAlternativeName, Ishite-ji]
-
A.
Ishite-ji Temple
chosen
Ishite-ji Temple is a historic Shingon Buddhist temple in Matsuyama, Japan, renowned as one of the 88 temples on the Shikoku Pilgrimage.
-
B.
Hotsumisaki-ji
Hotsumisaki-ji is a Buddhist temple in Kōchi Prefecture, Japan, known as Temple 24 on the Shikoku Pilgrimage.
-
C.
Iwamoto-ji
Iwamoto-ji is a Buddhist temple in Kōchi Prefecture, Japan, known as Temple 37 on the Shikoku Pilgrimage.
-
D.
Juraku-ji
Juraku-ji is a Buddhist temple in Japan known as Temple 7 on the Shikoku Pilgrimage route.
-
E.
Ichinomiya-ji
Ichinomiya-ji is a Buddhist temple in Kagawa Prefecture, Japan, known as Temple 83 on the Shikoku Pilgrimage.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8e6ff08190b130b3a38f4190e7 |
completed | April 16, 2026, 1:46 a.m. |
Created at: April 10, 2026, 3:45 a.m.