Triple
T12079786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 井上成美 |
E287647
|
entity |
| Predicate | 出身地 |
P1
|
FINISHED |
| Object | 仙台 |
E40916
|
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: 仙台 | Statement: [井上成美, 出身地, 仙台]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 仙台 Context triple: [井上成美, 出身地, 仙台]
-
A.
仙台市
仙台市は、東北地方最大の都市であり、宮城県の県庁所在地として経済・文化・教育の中心地となっている都市です。
-
B.
熊本市
熊本市 is the capital and largest city of Kumamoto Prefecture on Japan’s Kyushu island, known for its historic Kumamoto Castle and rich samurai-era heritage.
-
C.
Morioka
Morioka is the capital city of Iwate Prefecture in Japan’s Tōhoku region, known for its historic castle site, surrounding mountains, and distinctive local noodle dishes.
-
D.
Sendai
chosen
Sendai is the largest city in Japan’s Tōhoku region, known for its lush greenery, historic sites, and status as a major economic and cultural center in northeastern Honshu.
-
E.
Suwa City
Suwa City is a regional city in central Japan known for its scenic Lake Suwa, hot springs, precision manufacturing industry, and the historic Suwa Taisha shrine complex.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9045e81f88190be2b1aabd93f077c |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66301f081909697f9dd444a099e |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.