Triple
T149340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parliamentary Broadcasting Unit (Parliamentlive.tv) |
E3397
|
entity |
| Predicate | contentFormat |
P131
|
FINISHED |
| Object | video |
—
|
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: video | Statement: [Parliamentary Broadcasting Unit (Parliamentlive.tv), contentFormat, video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentFormat Context triple: [Parliamentary Broadcasting Unit (Parliamentlive.tv), contentFormat, video]
-
A.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
B.
mediaType
chosen
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
C.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
-
D.
primaryContent
Indicates that one entity serves as the main or most important content associated with another entity.
-
E.
writtenForm
Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2580ca15481909fa3e87d804a1b23 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a256599db08190a7b000b381d32ec4 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.