Triple
T22513398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scripps Broadcasting division |
E556578
|
entity |
| Predicate | hasMediaAssetsType |
P95096
|
FINISHED |
| Object | full-power television stations |
—
|
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: full-power television stations | Statement: [Scripps Broadcasting division, hasMediaAssetsType, full-power television stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMediaAssetsType Context triple: [Scripps Broadcasting division, hasMediaAssetsType, full-power television stations]
-
A.
hasCommonMedia
Indicates that two entities share at least one media item (such as an image, video, or audio file) in common.
-
B.
hasAssociatedMedium
Indicates that one entity is linked to another entity that serves as its medium, format, or channel of expression or transmission.
-
C.
hasAsset
Indicates that one entity possesses, owns, or controls another entity as an asset.
-
D.
hasMediaAppearanceIn
Indicates that an entity appears or is featured as media content within a specified media work, program, or publication.
-
E.
mediaTypeAvailable
chosen
Indicates that a particular type or format of media is available for use, access, or distribution in the given context.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d62bea48190aaf34aa93bb3f67b |
completed | April 29, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.