Triple
T135111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBC Alba |
E2730
|
entity |
| Predicate | producesContentType |
P92
|
FINISHED |
| Object | Gaelic-language news bulletins |
—
|
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: Gaelic-language news bulletins | Statement: [BBC Alba, producesContentType, Gaelic-language news bulletins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producesContentType Context triple: [BBC Alba, producesContentType, Gaelic-language news bulletins]
-
A.
hasContentType
Indicates that an entity is associated with or classified by a specific type of content.
-
B.
hasOutputType
chosen
Indicates that an entity produces, returns, or yields a result of a specified type.
-
C.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
D.
typicalProductionType
Indicates the usual or characteristic type of production activity associated with an entity.
-
E.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a3ad908190b6a8652f09ae0cbb |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a25651b9048190a6277b7fec98c1ea |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.