Triple
T12017906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saki Matsuri |
E286072
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Yamaboko Junko |
E291081
|
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: Yamaboko Junko | Statement: [Saki Matsuri, associatedWith, Yamaboko Junko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yamaboko Junko Context triple: [Saki Matsuri, associatedWith, Yamaboko Junko]
-
A.
Yamaboko Junko
chosen
Yamaboko Junko is the grand procession of elaborately decorated festival floats that serves as the main highlight of Kyoto’s Gion Matsuri.
-
B.
Yoshida Yukiko
Yoshida Yukiko was the wife of Shigeru Yoshida, a prominent post–World War II Japanese prime minister and key architect of Japan’s modern foreign policy.
-
C.
Okamura Naoko
Okamura Naoko is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
-
D.
Okamura Tomoko
Okamura Tomoko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura.
-
E.
Kodama Yōko
Kodama Yōko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903dabf2c819084dcaa05ae0a6018 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f64464a48190a2b96e39ab411115 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:47 p.m.