Triple
T28593413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persian Wikiquote |
E723713
|
entity |
| Predicate | supportsUserContributions |
P13367
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Persian Wikiquote, supportsUserContributions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsUserContributions Context triple: [Persian Wikiquote, supportsUserContributions, yes]
-
A.
supportsUserTalk
Indicates that one entity provides a platform or mechanism for another entity to engage in user-to-user communication or discussion.
-
B.
supportsCommunityContent
chosen
Indicates that an entity enables, hosts, or facilitates content created and shared by its user or community base.
-
C.
supportsUsers
Indicates that one entity provides assistance, functionality, or compatibility for the users associated with another entity.
-
D.
supportsAnonymousEditing
Indicates that the subject allows users to make edits or changes without requiring them to be identified or authenticated.
-
E.
supportsContributionModel
Indicates that one entity enables or is compatible with a particular model or framework for making contributions (such as donations, content, or resources).
- 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_69f01d80b1908190980594837604b8c7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a0120f070b081909b6d1a3d8ee6b80e |
completed | May 11, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_6a01209da37481909683e38f264b15ef |
completed | May 11, 2026, 12:19 a.m. |
Created at: April 28, 2026, 4:21 a.m.