Triple
T23103718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitsubishi Corporation |
E576100
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object | 三菱商事株式会社 |
—
|
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: 三菱商事株式会社 | Statement: [Mitsubishi Corporation, officialName, 三菱商事株式会社]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 三菱商事株式会社 Context triple: [Mitsubishi Corporation, officialName, 三菱商事株式会社]
-
A.
三菱重工業
三菱重工業は、エネルギー・交通・防衛・宇宙など幅広い分野で事業を展開する日本を代表する総合重工業メーカーです。
-
B.
Mitsubishi Corporation
chosen
Mitsubishi Corporation is a major Japanese multinational trading and investment company involved in a wide range of sectors including energy, machinery, chemicals, and infrastructure projects worldwide.
-
C.
Mitsubishi Shokuhin
Mitsubishi Shokuhin is a Japanese food and beverage wholesale and distribution company within the Mitsubishi corporate group.
-
D.
Marubeni
Marubeni is a major Japanese trading and investment conglomerate involved in a wide range of sectors including energy, infrastructure, chemicals, and food.
-
E.
Mitsubishi Group
Mitsubishi Group is a major Japanese conglomerate (keiretsu) comprising numerous companies across industries such as finance, heavy industry, automotive, and electronics.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18deaacbc8190a97e64e1cf39cdd6 |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.