Triple
T558924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time Europe |
E13404
|
entity |
| Predicate | editorialPerspective |
P8702
|
FINISHED |
| Object | international |
—
|
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: international | Statement: [Time Europe, editorialPerspective, international]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorialPerspective Context triple: [Time Europe, editorialPerspective, international]
-
A.
editorialStance
chosen
Indicates the position, viewpoint, or bias an editor or publication adopts toward a subject, issue, or entity.
-
B.
editorialStandard
Indicates that one entity defines, follows, or enforces a particular set of editorial rules, guidelines, or quality criteria in relation to another entity or content.
-
C.
opinionBy
Indicates that a particular opinion, viewpoint, or judgment is expressed or held by a specific entity.
-
D.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
E.
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.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499df43f08190b514a38d36fc271d |
completed | March 1, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69a494bd78e8819083c519669158f209 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.