Triple
T16059473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chisan-ha |
E389567
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Chishaku-in |
E1191879
|
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: Chishaku-in | Statement: [Chisan-ha, associatedWith, Chishaku-in]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chishaku-in Context triple: [Chisan-ha, associatedWith, Chishaku-in]
-
A.
Chishaku-in
chosen
Chishaku-in is a prominent Buddhist temple in Kyoto, Japan, serving as the head temple of the Shingon Chisan sect and known for its historic gardens and cultural treasures.
-
B.
Shōren-in
Shōren-in is a historic Tendai Buddhist temple in Kyoto, Japan, known for its elegant gardens, traditional architecture, and role as a former residence of imperial priests.
-
C.
Jukei-in
Jukei-in was a Japanese noblewoman of the Sengoku period, best known as the wife of powerful warlord Imagawa Yoshimoto and a member of the influential Imagawa clan.
-
D.
Kizoku-in
Kizoku-in was the upper house of Japan’s prewar Imperial Diet, composed mainly of nobility and imperial appointees.
-
E.
Shōji-ko
Shōji-ko is one of the Fuji Five Lakes in Yamanashi Prefecture, Japan, known for its scenic views of Mount Fuji and relatively undeveloped, tranquil surroundings.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837729e4819086e7429e0a76b0d7 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47a92608190993fe7f2c5957019 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.