Triple
T19896359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MailOnline |
E478161
|
entity |
| Predicate | parentNewspaperFormat |
P97973
|
FINISHED |
| Object | tabloid |
—
|
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: tabloid | Statement: [MailOnline, parentNewspaperFormat, tabloid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentNewspaperFormat Context triple: [MailOnline, parentNewspaperFormat, tabloid]
-
A.
newspaperFormat
chosen
Indicates the physical or layout format in which a newspaper is produced or presented (e.g., broadsheet, tabloid).
-
B.
publishedNewspaper
Indicates that an entity produced and issued a newspaper for public distribution.
-
C.
studentNewspaper
Indicates a relationship where an entity is the student-run newspaper associated with a particular school, college, or university.
-
D.
youthNewspaper
Indicates that an entity is a newspaper specifically intended for or associated with young people or youth audiences.
-
E.
hasNewspaperType
Indicates that an entity is associated with or classified by a particular type or category of newspaper.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6593dba78819082c8b80e65246171 |
completed | April 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.