Triple
T6570186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHK BS1 |
E155413
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object | NHK |
E152763
|
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: NHK | Statement: [NHK BS1, parentOrganization, NHK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NHK Context triple: [NHK BS1, parentOrganization, NHK]
-
A.
NHK
chosen
NHK is Japan's national public broadcasting organization, operating multiple television and radio networks domestically and internationally.
-
B.
Nippon Television Network
Nippon Television Network is a major Japanese commercial television broadcaster based in Tokyo and part of the influential Yomiuri media conglomerate.
-
C.
Nippon News Network
Nippon News Network is a Japanese commercial television news network that provides national news programming to its affiliated stations across Japan.
-
D.
NHK Radio 1
NHK Radio 1 is Japan’s primary national radio station operated by NHK, offering news, current affairs, and public service programming across the country.
-
E.
NHK Educational TV
NHK Educational TV is a Japanese public television channel operated by NHK that focuses on educational, cultural, and children’s programming.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae5791e881909d0b340aa63c6223 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7867e688190aad8cc2b396a64eb |
completed | March 27, 2026, 9:32 p.m. |
Created at: March 27, 2026, 1:53 p.m.