Triple
T12684714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyo-o-gokoku-ji |
E303037
|
entity |
| Predicate | hasAlternateName |
P39
|
FINISHED |
| Object | To-ji |
E58823
|
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: To-ji | Statement: [Kyo-o-gokoku-ji, hasAlternateName, To-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: To-ji Context triple: [Kyo-o-gokoku-ji, hasAlternateName, To-ji]
-
A.
To-ji
chosen
To-ji is a historic Buddhist temple in Kyoto, Japan, famed for its five-story pagoda—the tallest wooden tower in the country—and its status as a UNESCO World Heritage Site.
-
B.
Shitenno-ji
Shitenno-ji is one of Japan’s oldest Buddhist temples, founded in Osaka in the 6th century and renowned as a major historical and religious site.
-
C.
Jisho-ji
Jisho-ji, better known as Ginkaku-ji or the Silver Pavilion, is a renowned Zen Buddhist temple in Kyoto celebrated for its elegant architecture and classical Japanese gardens.
-
D.
Ryōzenji
Ryōzenji is a Buddhist temple in Tokushima Prefecture, Japan, best known as the traditional starting point of the Shikoku 88-temple pilgrimage.
-
E.
Kuon-ji
Kuon-ji is the head temple of Nichiren Buddhism, located on Mount Minobu in Yamanashi Prefecture, Japan.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d7cd4c81909521839ef5859799 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef5a0824819097e41163e3092b68 |
completed | May 9, 2026, 8:24 a.m. |
Created at: April 9, 2026, 5:21 p.m.