Triple
T6545752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aso political family |
E151002
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Aso |
E151002
|
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: Aso | Statement: [Aso political family, familyName, Aso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aso Context triple: [Aso political family, familyName, Aso]
-
A.
Aso
chosen
Aso is a Japanese surname most prominently associated with Taro Aso, a former Prime Minister of Japan and long-serving political figure.
-
B.
Keikyū
Keikyū is a major private railway operator in the Greater Tokyo area of Japan, known for its commuter and airport rail services.
-
C.
Shinkyō
Shinkyō is the Japanese name for Hsinking, the former capital city of the Japanese puppet state Manchukuo in northeastern China during the early 20th century.
-
D.
Mount Aso
Mount Aso is one of Japan’s largest and most active volcanoes, featuring a vast caldera and multiple central cones on the island of Kyushu.
-
E.
Fukuchiyama
Fukuchiyama is a regional city in northern Kyoto Prefecture, Japan, known as a historical castle town and commercial hub for the surrounding rural area.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6adee47cc8190830dbc1228b788ee |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e41f1eb8819086d0094015bdc1af |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:50 p.m.