Triple
T14194913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NewsNation |
E351810
|
entity |
| Predicate | claimsToProvide |
P32091
|
FINISHED |
| Object | unbiased news coverage |
—
|
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: unbiased news coverage | Statement: [NewsNation, claimsToProvide, unbiased news coverage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: claimsToProvide Context triple: [NewsNation, claimsToProvide, unbiased news coverage]
-
A.
claimsToDescribe
Indicates that one entity asserts that it provides an accurate or valid description of another entity or concept.
-
B.
claimsToBe
chosen
Indicates that one entity asserts or declares itself to have a particular identity, role, or property, regardless of whether this assertion is true.
-
C.
claimsToExplain
Indicates that one entity asserts it can provide a clarification, account, or understanding of another entity or phenomenon.
-
D.
claimsToFollow
Indicates that one entity asserts or professes adherence to the principles, rules, or leadership of another entity.
-
E.
claimsToMark
Indicates that one entity asserts or alleges that it has marked, labeled, or designated another entity in some specified way.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e1fbd48190a4864fa4443f8f29 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:04 a.m.