Triple
T19439657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mako Iwamatsu |
E486312
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Kobe, Hyōgo, Japan |
—
|
NE NERFINISHED |
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: Kobe, Hyōgo, Japan | Statement: [Mako Iwamatsu, placeOfBirth, Kobe, Hyōgo, Japan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kobe, Hyōgo, Japan Context triple: [Mako Iwamatsu, placeOfBirth, Kobe, Hyōgo, Japan]
-
A.
Kobe, Hyogo, Japan
chosen
Kobe, Hyogo, Japan is a major port city in western Japan known for its international trade, scenic harbor setting between mountains and sea, and famous Kobe beef.
-
B.
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.
-
C.
Abeno-ku, Osaka, Japan
Abeno-ku is a central ward of Osaka, Japan, known as a major commercial and transportation hub that hosts the landmark skyscraper Abeno Harukas.
-
D.
Nada-ku, Kobe
Nada-ku, Kobe is a ward of Kobe, Japan, known for its scenic Mount Rokko area, sake breweries, and residential neighborhoods.
-
E.
Yokohama, Kanagawa, Japan
Yokohama, in Kanagawa Prefecture, is Japan’s second-largest city and a major international port known for its historic role in opening Japan to foreign trade and its modern waterfront skyline.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633637ea48190bfa36b0b0a2762bc |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:38 p.m.