Triple
T5710734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Korean media |
E125899
|
entity |
| Predicate | advertising |
P33256
|
FINISHED |
| Object | minimal commercial advertising |
—
|
LITERAL 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: minimal commercial advertising | Statement: [North Korean media, advertising, minimal commercial advertising]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advertising Context triple: [North Korean media, advertising, minimal commercial advertising]
-
A.
advertises
Indicates that one entity promotes, publicizes, or markets another entity, typically to attract attention or customers.
-
B.
marketingAs
Indicates that one entity is being presented, promoted, or branded to others as if it were another specified entity, role, or category.
-
C.
advertisedUsing
chosen
Indicates that something is promoted or made known through a particular medium, method, or channel of advertising.
-
D.
mediaMarket
Indicates a relationship where a media outlet or content provider serves, targets, or operates within a particular geographic or demographic market.
-
E.
usesAdvertisingModel
Indicates that one entity employs or relies on another entity’s advertising-based business or revenue model.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c47f4c81909e6849c3be3e951c |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:46 p.m.