Triple
T17549448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sphere |
E427417
|
entity |
| Predicate | mainContentFocus |
P82617
|
FINISHED |
| Object | news |
—
|
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: news | Statement: [The Sphere, mainContentFocus, news]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainContentFocus Context triple: [The Sphere, mainContentFocus, news]
-
A.
focusesOnContentFrom
Indicates that an entity’s attention, activity, or operations are directed toward the content produced by another entity.
-
B.
mainContentType
chosen
Indicates the primary type or category of content associated with an entity or resource.
-
C.
canonicalFocus
Indicates that one entity is the primary or most representative focus or point of attention in relation to another entity.
-
D.
primaryContentRegion
Indicates the main area or section where the most important or central content is located or presented.
-
E.
primaryContent
Indicates that one entity serves as the main or most important content associated with another entity.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45463ddf88190a2c29f3246adcb6e |
completed | April 19, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.