Triple
T17688423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadaijin |
E440957
|
entity |
| Predicate | hasCounterpart |
P6587
|
FINISHED |
| Object | Udaijin |
—
|
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: Udaijin | Statement: [Sadaijin, hasCounterpart, Udaijin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Udaijin Context triple: [Sadaijin, hasCounterpart, Udaijin]
-
A.
Udaijin
chosen
Udaijin was a high-ranking ministerial post in Japan’s historical imperial court, typically serving as one of the chief advisors and administrators directly beneath the top chancellor.
-
B.
Nishiizu
Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
-
C.
Narusawa
Narusawa is a village in Yamanashi Prefecture, Japan, located in the scenic Fuji Five Lakes region near Mount Fuji.
-
D.
Wakatoshi
Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
-
E.
Iwakuni
Iwakuni is a historic city in western Japan known for its iconic wooden Kintai Bridge and its location along the Nishiki River.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704944d8819089b153aa14839fc0 |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:03 a.m.