Triple
T1735335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wikiversity |
E37906
|
entity |
| Predicate | hasDiscussionSystem |
P31860
|
FINISHED |
| Object | talk pages |
—
|
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: talk pages | Statement: [Wikiversity, hasDiscussionSystem, talk pages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiscussionSystem Context triple: [Wikiversity, hasDiscussionSystem, talk pages]
-
A.
discourse
Indicates that one entity engages in extended verbal or written communication or discussion with another entity.
-
B.
canDiscuss
Indicates that one entity is able or permitted to engage in a discussion or conversation with another entity.
-
C.
frequentlyDiscussedIn
Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
-
D.
hasDebate
Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
-
E.
hasDebatedStatus
Indicates that an entity has participated in or been assigned a particular status related to a debate or debating activity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69ab5c54362881908895ab249cad8c1d |
completed | March 6, 2026, 10:59 p.m. |
Created at: March 4, 2026, 7:30 p.m.