Triple
T17460475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daigo-tennō |
E425137
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Daigo-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: Daigo-ji | Statement: [Daigo-tennō, deathPlace, Daigo-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daigo-ji Context triple: [Daigo-tennō, deathPlace, Daigo-ji]
-
A.
Daigo-ji
chosen
Daigo-ji is a historic Buddhist temple complex in Kyoto, Japan, renowned for its association with Shingon Buddhism, ancient pagoda, and UNESCO World Heritage status.
-
B.
Daihō-ji
Daihō-ji is a Buddhist temple in Japan known as Temple 44 on the Shikoku Pilgrimage route.
-
C.
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.
-
D.
Daikōji Temple
Daikōji Temple is a Buddhist temple in Japan known as Temple 67 on the Shikoku Pilgrimage route.
-
E.
Tenryu-ji Temple
Tenryu-ji Temple is a major Zen Buddhist temple in Kyoto, Japan, renowned for its historic landscape garden and status as a UNESCO World Heritage Site.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.