Triple
T4832074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MediaWiki |
E107967
|
entity |
| Predicate | supportsUserPreferences |
P203
|
FINISHED |
| Object | per-user settings |
—
|
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: per-user settings | Statement: [MediaWiki, supportsUserPreferences, per-user settings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsUserPreferences Context triple: [MediaWiki, supportsUserPreferences, per-user settings]
-
A.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
B.
supportsUse
Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
-
C.
supportsMultiuser
Indicates that the subject is capable of handling or enabling simultaneous use by multiple users.
-
D.
supportsUserType
Indicates that one entity is compatible with, or provides functionality for, a specified type or category of user.
-
E.
unitPreference
Indicates a relationship where one entity specifies or favors a particular unit of measurement or representation over others.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c21c7f08190846049d31fdfa144 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.