Triple
T8021287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esaki Reona |
E186746
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Osaka, Japan |
E486
|
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: Osaka, Japan | Statement: [Esaki Reona, birthPlace, Osaka, Japan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osaka, Japan Context triple: [Esaki Reona, birthPlace, Osaka, Japan]
-
A.
Osaka, Kansai, Japan
Osaka, Kansai, Japan is a major Japanese metropolitan region known as an economic, cultural, and transportation hub that will host the World Expo 2025.
-
B.
Sakai, Osaka
Sakai, Osaka is a historic port city in Japan’s Osaka Prefecture, known for its ancient burial mounds, traditional craftsmanship, and role as a major commercial center.
-
C.
Umeda, Osaka
Umeda, Osaka is a major commercial and transportation district in Osaka, Japan, known for its dense cluster of department stores, office towers, and railway terminals.
-
D.
Osaka
chosen
Osaka is Japan's third-largest city and a major economic, cultural, and historical hub known for its vibrant street food, bustling nightlife, and role as a commercial center in the Kansai region.
-
E.
Hirakata, Osaka
Hirakata, Osaka is a city in northern Osaka Prefecture, Japan, known as a residential and educational hub between Osaka and Kyoto.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8d90488190b57d1e748e272061 |
completed | March 31, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde6dc7b248190b59187a80b4fe036 |
completed | April 2, 2026, 3:47 a.m. |
Created at: March 30, 2026, 5:20 p.m.