Triple
T14371513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google News |
E356367
|
entity |
| Predicate | aggregatesContentFrom |
P57986
|
FINISHED |
| Object | news publishers |
—
|
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 publishers | Statement: [Google News, aggregatesContentFrom, news publishers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aggregatesContentFrom Context triple: [Google News, aggregatesContentFrom, news publishers]
-
A.
hasContentFrom
Indicates that one entity’s content is derived from, includes, or is based on another entity.
-
B.
syndicatesContentFrom
Indicates that one entity republishes or distributes content that originates from another entity.
-
C.
collectsFrom
Indicates that one entity gathers, receives, or takes something (such as items, data, or payments) from another entity.
-
D.
curatesContentFrom
chosen
Indicates that one entity selects, organizes, and presents content that originates from another entity.
-
E.
distributesContentTo
Indicates that one entity delivers or makes content available to another entity or set of entities.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb2082c8190b42cc5f2bab4f574 |
completed | April 14, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:15 a.m.