Triple
T1604680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ga language |
E34473
|
entity |
| Predicate | hasMediaUse |
P3334
|
FINISHED |
| Object | radio broadcasting in Ghana |
—
|
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: radio broadcasting in Ghana | Statement: [Ga language, hasMediaUse, radio broadcasting in Ghana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMediaUse Context triple: [Ga language, hasMediaUse, radio broadcasting in Ghana]
-
A.
usedByMedia
chosen
Indicates that something is employed or utilized by media organizations or media-related channels.
-
B.
hasCommonMedia
Indicates that two entities share at least one media item (such as an image, video, or audio file) in common.
-
C.
hasHumanUse
Indicates that something is used, employed, or utilized by humans for a particular purpose or benefit.
-
D.
usedInMediaOf
Indicates that something (e.g., a work, element, or content) is employed or appears within a particular media work or production.
-
E.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fa6926081908bc78d15c0be3185 |
completed | March 5, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69a907c35f848190a2428c52e81d013e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.