Triple
T13570295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DeNA |
E324138
|
entity |
| Predicate | notableSubsidiary |
P9212
|
FINISHED |
| Object | DeNA Travel (historical) |
E324138
|
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: DeNA Travel (historical) | Statement: [DeNA, notableSubsidiary, DeNA Travel (historical)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeNA Travel (historical) Context triple: [DeNA, notableSubsidiary, DeNA Travel (historical)]
-
A.
DeNA
chosen
DeNA is a Japanese mobile portal and e-commerce company best known for its mobile gaming platforms and ownership of various entertainment and sports businesses.
-
B.
Keihan Hotels & Resorts
Keihan Hotels & Resorts is a Japanese hotel and hospitality company operating a portfolio of properties primarily in the Kansai region, including Kyoto and Osaka.
-
C.
Tokyu Land Corporation
Tokyu Land Corporation is a major Japanese real estate developer and property management company within the Tokyu Group conglomerate.
-
D.
Rakuten Group
Rakuten Group is a Japanese multinational technology and e-commerce conglomerate best known for its online marketplace, fintech services, and global digital ecosystem.
-
E.
Seibu Group
Seibu Group is a major Japanese conglomerate with core businesses in railways, hotels, real estate, and leisure services.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00f5b8881908617f42d227ed137 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb61a40819099a62f65a68dff7b |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.