Triple
T10504682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Companies & Markets |
E247754
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Nikkei Inc. |
E247752
|
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: Nikkei Inc. | Statement: [Companies & Markets, ownedBy, Nikkei Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikkei Inc. Context triple: [Companies & Markets, ownedBy, Nikkei Inc.]
-
A.
Nikkei Inc.
chosen
Nikkei Inc. is a major Japanese media and financial information company best known for publishing the Nikkei newspaper and owning the Financial Times.
-
B.
Nippon Kokusai Koku Kogyo K.K.
Nippon Kokusai Koku Kogyo K.K. was a Japanese aircraft manufacturer active before and during World War II, known for producing military and transport aircraft for the Imperial Japanese Army.
-
C.
NII Holdings
NII Holdings was a telecommunications company best known for providing mobile and push-to-talk services under the Nextel brand in Latin American markets.
-
D.
Nikkei Printing
Nikkei Printing is a printing and publishing company that operates as a subsidiary of the major Japanese media conglomerate Nikkei Inc.
-
E.
Keio Corporation
Keio Corporation is a major Japanese private railway and transportation company operating rail lines and related services in the Tokyo metropolitan area.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5099f4dec8190a9851739c8bc9a69 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933d4b63081909ad297038fb74bed |
completed | April 10, 2026, 5:31 p.m. |
Created at: April 6, 2026, 12:26 p.m.