Triple
T14383409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple 80: Kokubunji |
E356663
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Kokubun-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: Kokubun-ji | Statement: [Temple 80: Kokubunji, alsoKnownAs, Kokubun-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kokubun-ji Context triple: [Temple 80: Kokubunji, alsoKnownAs, Kokubun-ji]
-
A.
Kokubunji
chosen
Kokubunji is a city in western Tokyo, Japan, known as a residential and educational hub within the Tama area.
-
B.
Shokoku-ji Temple
Shokoku-ji Temple is a major Rinzai Zen Buddhist temple in Kyoto, Japan, renowned as one of the city's historically significant "Five Great Zen Temples."
-
C.
Yakushi-ji
Yakushi-ji is a major Buddhist temple in Nara, Japan, renowned as one of the country’s oldest and most important historic and architectural sites.
-
D.
Noto Kokubun-ji
Noto Kokubun-ji is an ancient Buddhist temple and former provincial monastery that served as a key religious and administrative center in Japan’s historic Noto Province.
-
E.
Tōshōdai-ji
Tōshōdai-ji is an 8th-century Buddhist temple in Nara, Japan, renowned for its well-preserved classical architecture and association with the Chinese monk Jianzhen (Ganjin).
- 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.