Triple
T920877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wikipedia |
E19879
|
entity |
| Predicate | contentPolicy |
P1051
|
FINISHED |
| Object | neutral point of view |
—
|
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: neutral point of view | Statement: [Wikipedia, contentPolicy, neutral point of view]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentPolicy Context triple: [Wikipedia, contentPolicy, neutral point of view]
-
A.
dataPolicy
Indicates that one entity defines or governs how data related to another entity is collected, used, stored, or shared.
-
B.
issuesPolicyOn
Indicates that an authority or organization formally creates, approves, or enacts a policy concerning a particular subject or domain.
-
C.
contactPolicy
Indicates the rules or constraints governing how and when one party is allowed to initiate or maintain contact with another.
-
D.
governingPolicy
chosen
Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
-
E.
collectionPolicy
Indicates the rules or guidelines that govern how items are gathered, selected, and managed within a collection.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2944ff88190a260be5355132ba5 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.