Triple
T24569231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CNN+ (Spain) |
E607884
|
entity |
| Predicate | newsCategory |
P87
|
FINISHED |
| Object | politics |
—
|
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: politics | Statement: [CNN+ (Spain), newsCategory, politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: newsCategory Context triple: [CNN+ (Spain), newsCategory, politics]
-
A.
textCategory
Indicates that a piece of text belongs to or is classified under a particular category or type.
-
B.
category
chosen
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
C.
coreCategory
Indicates that one entity is the primary or fundamental category to which another entity belongs or is classified under.
-
D.
navigationCategory
Indicates that one entity is classified under, or associated with, a particular navigation-related category used for organizing or guiding access to content or locations.
-
E.
commonsCategory
Indicates that an entity is associated with a specific media or topic category on Wikimedia Commons.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a923635c819097ecac0c82ec5f29 |
completed | April 30, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:28 a.m.