Triple
T24661395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nippon Hōsō Kyōkai |
E610546
|
entity |
| Predicate | internationalBrand |
P133890
|
FINISHED |
| Object | NHK World-Japan |
—
|
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: NHK World-Japan | Statement: [Nippon Hōsō Kyōkai, internationalBrand, NHK World-Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: internationalBrand Context triple: [Nippon Hōsō Kyōkai, internationalBrand, NHK World-Japan]
-
A.
isBrand
chosen
Indicates that one entity functions as the commercial brand or label associated with another entity.
-
B.
popularBrand
Indicates that a brand is widely liked, recognized, or frequently chosen by many people.
-
C.
favoriteBrand
Indicates that one entity is the preferred or most liked brand of another entity.
-
D.
premiumBrand
Indicates that one entity is recognized or classified as a high-end, premium-quality brand relative to others.
-
E.
competitiveBrandName
Indicates that one brand name is in a competitive relationship with another brand name in the same market or product space.
- F. None of above.
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_69e2c4d453248190a020354e93ef6282 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:34 a.m.