Triple
T18514899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senbatsu Kōtō Gakkō Yakyū Taikai |
E452433
|
entity |
| Predicate | commonName |
P570
|
FINISHED |
| Object | Senbatsu |
—
|
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: Senbatsu | Statement: [Senbatsu Kōtō Gakkō Yakyū Taikai, commonName, Senbatsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senbatsu Context triple: [Senbatsu Kōtō Gakkō Yakyū Taikai, commonName, Senbatsu]
-
A.
Senbatsu
chosen
Senbatsu is the popular name for Japan’s annual spring national high school baseball invitational tournament held at Koshien Stadium.
-
B.
Soumu-sho
Soumu-sho is Japan’s Ministry of Internal Affairs and Communications, responsible for overseeing local administration, elections, telecommunications, and postal services.
-
C.
Senyuuji
Senyuuji is a Buddhist temple in Japan, known as Temple 58 on the Shikoku Pilgrimage route.
-
D.
Genshō
Genshō was an 8th-century Japanese empress who ruled during the Nara period and is known for continuing the centralizing reforms of her predecessors.
-
E.
Enryaku
Enryaku was a Japanese era during the reign of Emperor Kanmu, notable for major political reforms and the early development of Kyoto as the imperial capital.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53349415c8190b989b536e2d1c40a |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.