Triple
T1735466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wikinews |
E37908
|
entity |
| Predicate | usesNeutralPointOfViewPolicy |
P26485
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Wikinews, usesNeutralPointOfViewPolicy, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesNeutralPointOfViewPolicy Context triple: [Wikinews, usesNeutralPointOfViewPolicy, true]
-
A.
usesNeutral
chosen
Indicates that one entity employs or applies something in a neutral, unbiased, or non-aligned manner toward another entity or context.
-
B.
isNeutralUnder
Indicates that one entity does not affect, alter, or interact with another in a way that changes its state, value, or behavior.
-
C.
neutralized
Indicates that one entity has rendered another entity ineffective, harmless, or no longer able to exert its intended effect.
-
D.
policyStance
Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
-
E.
hasNeutralPronoun
Indicates that an entity is referred to using a gender-neutral pronoun.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab5c553e508190b0f511b05e07fa20 |
completed | March 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69aa61c25a648190892de94c997fb983 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.