Triple
T25801107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHK General TV |
E649830
|
entity |
| Predicate | primaryNewsProgram |
P82647
|
FINISHED |
| Object | NHK News 7 |
—
|
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 News 7 | Statement: [NHK General TV, primaryNewsProgram, NHK News 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryNewsProgram Context triple: [NHK General TV, primaryNewsProgram, NHK News 7]
-
A.
offersNewscasts
chosen
Indicates that one entity provides or broadcasts news programs or newscast content to another or to an audience.
-
B.
primaryBroadcastMedium
Indicates the main communication channel or platform through which something (such as content, information, or a message) is originally transmitted or distributed.
-
C.
primaryContent
Indicates that one entity serves as the main or most important content associated with another entity.
-
D.
primaryMedium
Indicates the main material, format, or channel through which something is created, expressed, or communicated.
-
E.
primaryProgram
Indicates that one entity serves as the main or principal program associated with another entity, distinguishing it from any secondary or auxiliary programs.
- 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: April 22, 2026, 6:38 a.m.