Triple
T5596996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 梅津美治郎 |
E147022
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | 日本・東京 |
E5560
|
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: 日本・東京 | Statement: [梅津美治郎, deathPlace, 日本・東京]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 日本・東京 Context triple: [梅津美治郎, deathPlace, 日本・東京]
-
A.
Japan
Japan is an East Asian island nation in the Pacific Ocean known for its advanced technology, rich cultural heritage, and major cities such as Tokyo, Osaka, and Kyoto.
-
B.
Tōkyō-wan
Tōkyō-wan is the Japanese name for Tokyo Bay, a major urban bay on the Pacific coast of Honshu that serves as a key economic and transportation hub for the Greater Tokyo Area.
-
C.
Kansai, Japan
Kansai, Japan is a major region in western Honshu known for historic cities like Kyoto, Osaka, and Nara, rich cultural heritage, and significant economic and cultural influence.
-
D.
Tokyo
chosen
Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
-
E.
Japo
Japo is a small settlement located on Arno Atoll in the Marshall Islands.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020c126088190914ef7b575d800e4 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0286eaa2881909cbb0bb20f4987fe |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:38 p.m.