Triple
T19532495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 山本五十六 |
E488689
|
entity |
| Predicate | 生誕地 |
P1
|
FINISHED |
| Object | 新潟県長岡市 |
—
|
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: 新潟県長岡市 | Statement: [山本五十六, 生誕地, 新潟県長岡市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 新潟県長岡市 Context triple: [山本五十六, 生誕地, 新潟県長岡市]
-
A.
Yamagata City
Yamagata City is a regional hub in northeastern Japan known for its hot springs, surrounding mountains, and annual Hanagasa Festival.
-
B.
Yonezawa, Yamagata
Yonezawa, Yamagata is a city in Yamagata Prefecture, Japan, known for its historic castle town heritage, Yonezawa beef, and connections to the Uesugi samurai clan.
-
C.
Yonezawa City
Yonezawa City is a historic castle town in southern Yamagata Prefecture, Japan, known for its samurai heritage, hot springs, and renowned Yonezawa beef.
-
D.
Nagaoka City
chosen
Nagaoka City is a major city in Niigata Prefecture, Japan, known for its historic castle town origins and one of the country’s most famous summer fireworks festivals.
-
E.
Tsuruoka City
Tsuruoka City is a coastal city in northern Japan known for its rich culinary culture, historic temples, and designation as a UNESCO Creative City of Gastronomy.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6364091f4819088b27d0ffdf6010d |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.