Triple
T2828061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinkaku-ji |
E54970
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 金閣寺 |
E54970
|
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: 金閣寺 | Statement: [Kinkaku-ji, nativeName, 金閣寺]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 金閣寺 Context triple: [Kinkaku-ji, nativeName, 金閣寺]
-
A.
Kinkaku-ji
chosen
Kinkaku-ji is a famous Zen Buddhist temple in Kyoto, Japan, renowned for its top two floors covered entirely in gold leaf and its picturesque setting beside a reflective pond.
-
B.
龍安寺
龍安寺 is a Zen Buddhist temple in Kyoto, Japan, renowned for its iconic rock garden and status as a UNESCO World Heritage Site.
-
C.
Kiyomizu-dera
Kiyomizu-dera is a famous historic Buddhist temple in Kyoto, Japan, renowned for its large wooden stage that offers panoramic views of the city and surrounding hills.
-
D.
Ginkaku-ji
Ginkaku-ji is a famous Zen Buddhist temple in Kyoto, Japan, renowned for its elegant Silver Pavilion, serene gardens, and embodiment of traditional Japanese aesthetics.
-
E.
Fushimi Inari Taisha
Fushimi Inari Taisha is a famous Shinto shrine in Japan renowned for its thousands of vermilion torii gates winding up the forested slopes of Mount Inari.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde95d8148190bcae8b0659a5c116 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceb4f3ec8190987afb7a2ac302e2 |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:59 p.m.