Triple
T31341240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saudi Research and Marketing Group |
E799310
|
entity |
| Predicate | hasMediaPortfolioType |
P7961
|
FINISHED |
| Object | newspapers |
—
|
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: newspapers | Statement: [Saudi Research and Marketing Group, hasMediaPortfolioType, newspapers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMediaPortfolioType Context triple: [Saudi Research and Marketing Group, hasMediaPortfolioType, newspapers]
-
A.
hasGenreInPortfolio
Indicates that an entity (such as a creator, label, or catalog) includes a particular genre within its body of work or offerings.
-
B.
hasMediaAppearanceIn
Indicates that an entity appears or is featured as media content within a specified media work, program, or publication.
-
C.
hasAssociatedMedium
chosen
Indicates that one entity is linked to another entity that serves as its medium, format, or channel of expression or transmission.
-
D.
hasVenuePortfolio
Indicates that an entity maintains or owns a collection or portfolio of venues.
-
E.
belongsToPortfolio
Indicates that something is included as a component or asset within a particular portfolio.
- 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_69f224e51614819083141459a080e97c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: April 29, 2026, 9:17 p.m.