Triple
T3157066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The National |
E66008
|
entity |
| Predicate | newsStyle |
P6001
|
FINISHED |
| Object | in-depth reporting |
—
|
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: in-depth reporting | Statement: [The National, newsStyle, in-depth reporting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: newsStyle Context triple: [The National, newsStyle, in-depth reporting]
-
A.
articleType
chosen
Indicates the specific category or kind of article associated with an entity.
-
B.
reporterStyle
Indicates that one entity presents information in the manner or stylistic approach characteristic of a reporter or journalistic reporting.
-
C.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
D.
mediaCoverage
Indicates that one entity reports on, documents, or broadcasts information about another entity through news or media channels.
-
E.
mediaCovered
Indicates that one entity (such as a media outlet or source) has reported on, featured, or otherwise provided coverage of another entity or event.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5eafa4c8190a65cc1312823144c |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfbf0348190952a6bca8fc5fed1 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.