Triple
T11622944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tadahiko Ueda |
E276185
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ueda |
E453589
|
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: Ueda | Statement: [Tadahiko Ueda, familyName, Ueda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ueda Context triple: [Tadahiko Ueda, familyName, Ueda]
-
A.
Ueda
chosen
Ueda is a historic city in Nagano Prefecture, Japan, known for Ueda Castle, samurai heritage, and its scenic riverside setting.
-
B.
Fujieda
Fujieda is a city in Shizuoka Prefecture, Japan, known as a regional commercial center with a mix of residential areas, agriculture, and light industry.
-
C.
Takahama
Takahama is a small coastal city in central Japan known for its industrial activity and location within Aichi Prefecture.
-
D.
Higashikawa
Higashikawa is a town in Hokkaido, Japan, known as a gateway to the Daisetsuzan mountain range and for its scenic natural landscapes.
-
E.
Uwajima
Uwajima is a coastal city in southwestern Shikoku, Japan, known for its historic castle, fishing industry, and traditional bullfighting events.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a122a3708190ab6513dad4c4fde7 |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ebeb5ec8190afef40d87c74a8a0 |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 8, 2026, 9:39 p.m.