Triple
T16859328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heian Maru |
E409866
|
entity |
| Predicate | builder |
P3143
|
FINISHED |
| Object | Mitsubishi Heavy Industries |
E95603
|
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: Mitsubishi Heavy Industries | Statement: [Heian Maru, builder, Mitsubishi Heavy Industries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitsubishi Heavy Industries Context triple: [Heian Maru, builder, Mitsubishi Heavy Industries]
-
A.
Mitsubishi Heavy Industries
chosen
Mitsubishi Heavy Industries is a major Japanese multinational engineering and manufacturing company known for producing ships, aerospace equipment, power systems, and heavy machinery.
-
B.
Kawasaki Heavy Industries
Kawasaki Heavy Industries is a major Japanese multinational corporation known for manufacturing ships, heavy machinery, aerospace equipment, and transportation systems.
-
C.
Tokyo Ishikawajima Shipbuilding and Engineering
Tokyo Ishikawajima Shipbuilding and Engineering was the historical predecessor of Isuzu, originally a Japanese shipbuilding and heavy engineering company that later evolved into an automotive manufacturer.
-
D.
Mitsubishi Corporation
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.
-
E.
Sasebo Heavy Industries
Sasebo Heavy Industries is a Japanese shipbuilding and heavy engineering company known for operating a major shipyard in Sasebo, Nagasaki Prefecture.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b501f72881909f7600311705fb33 |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb25300c8190a352037c21c244bd |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.