Triple
T19060175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aizu Byakko Matsuri |
E466508
|
entity |
| Predicate | honors |
P2354
|
FINISHED |
| Object | Byakkotai |
—
|
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: Byakkotai | Statement: [Aizu Byakko Matsuri, honors, Byakkotai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byakkotai Context triple: [Aizu Byakko Matsuri, honors, Byakkotai]
-
A.
Byakkotai
chosen
Byakkotai was a famed group of teenage samurai from the Aizu domain who became legendary for their tragic mass suicide during the Boshin War in 1868.
-
B.
Kahone
Kahone is a historic town in Senegal that once served as the political center of the precolonial Serer kingdom of Saloum.
-
C.
Gishin
Gishin was an early Japanese Tendai Buddhist monk and scholar who helped establish and systematize the Tendai school following the teachings of his mentor Dengyō Daishi (Saichō).
-
D.
Hizaori
Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
-
E.
Tainai
Tainai is a city in northern Japan known for its rural landscapes, agriculture, and proximity to the Sea of Japan within Niigata Prefecture.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc0910088190b042095937b202a8 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 10, 2026, 12:03 p.m.