Triple
T17109825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawasaki Heavy Industries |
E415195
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Kawasaki Group |
E85096
|
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: Kawasaki Group | Statement: [Kawasaki Heavy Industries, partOf, Kawasaki Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kawasaki Group Context triple: [Kawasaki Heavy Industries, partOf, Kawasaki Group]
-
A.
Kawasaki Heavy Industries
chosen
Kawasaki Heavy Industries is a major Japanese multinational corporation known for manufacturing ships, heavy machinery, aerospace equipment, and transportation systems.
-
B.
Komatsu Limited
Komatsu Limited is a major Japanese multinational corporation that manufactures construction, mining, and military equipment.
-
C.
Mitsubishi Group
Mitsubishi Group is a major Japanese conglomerate (keiretsu) comprising numerous companies across industries such as finance, heavy industry, automotive, and electronics.
-
D.
Asahi Group Holdings
Asahi Group Holdings is a major Japanese beverage and food company best known globally for its beer brands and international brewery acquisitions.
-
E.
Sumitomo Group
Sumitomo Group is one of Japan’s largest and oldest keiretsu conglomerates, with diversified interests spanning industries such as finance, manufacturing, mining, and electronics.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc29c884819092a97d9663a1b1f7 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170e153808190b2a253f64da87737 |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:35 a.m.