Triple
T20868637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scottish Daily Mail |
E513828
|
entity |
| Predicate | newspaperType |
P21126
|
FINISHED |
| Object | paid-for daily newspaper |
—
|
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: paid-for daily newspaper | Statement: [Scottish Daily Mail, newspaperType, paid-for daily newspaper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: newspaperType Context triple: [Scottish Daily Mail, newspaperType, paid-for daily newspaper]
-
A.
newspaperFormat
Indicates the physical or layout format in which a newspaper is produced or presented (e.g., broadsheet, tabloid).
-
B.
hasNewspaperType
chosen
Indicates that an entity is associated with or classified by a particular type or category of newspaper.
-
C.
newspaperSupplementOf
Indicates that one publication functions as a supplementary section or insert to a main newspaper.
-
D.
magazineType
Indicates the specific category or genre to which a magazine belongs.
-
E.
publishedNewspaper
Indicates that an entity produced and issued a newspaper for public distribution.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4624ce48190b85e5bb24cf0a305 |
completed | April 21, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:45 p.m.