Triple
T36171624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Axios PM newsletter |
E1046156
|
entity |
| Predicate | usesEditorialApproach |
P132844
|
FINISHED |
| Object | smart brevity format |
—
|
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: smart brevity format | Statement: [Axios PM newsletter, usesEditorialApproach, smart brevity format]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesEditorialApproach Context triple: [Axios PM newsletter, usesEditorialApproach, smart brevity format]
-
A.
hasEditorialStyle
chosen
Indicates that one entity possesses, applies, or is characterized by a particular editorial style defined by another entity.
-
B.
hasEditorialFocus
Indicates that an entity (such as a publication or section) is primarily concerned with or oriented around a particular editorial topic, theme, or subject area.
-
C.
editorialNote
Indicates that there is an accompanying editorial comment or clarification about the related content, typically added by an editor rather than the original author.
-
D.
editorialSupport
Indicates that one entity provides editorial assistance, guidance, or services to another entity or work.
-
E.
hasEditorialContent
Indicates that an entity includes or is associated with editorially created or curated content, such as articles, commentary, or opinion pieces.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.