Triple
T903354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sluha Narodu |
E19493
|
entity |
| Predicate | usesMedia |
P4793
|
FINISHED |
| Object | social networks |
—
|
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: social networks | Statement: [Sluha Narodu, usesMedia, social networks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMedia Context triple: [Sluha Narodu, usesMedia, social networks]
-
A.
usedByMedia
Indicates that something is employed or utilized by media organizations or media-related channels.
-
B.
usedMedium
chosen
Indicates that an action or communication was carried out through a particular medium or channel.
-
C.
mediaDepictionAs
Indicates that one entity is portrayed or represented as another entity or in a particular way within some medium (e.g., image, film, text).
-
D.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
E.
mediaAccess
Indicates that one entity has the ability, permission, or means to view, use, or interact with a particular media resource.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad58334881908df191140b786780 |
completed | March 1, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69a4aa98caec8190bbcc38320090f058 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.