Triple
T2409255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linux Kernel Mailing List |
E50347
|
entity |
| Predicate | moderation |
P39266
|
FINISHED |
| Object | unmoderated |
—
|
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: unmoderated | Statement: [Linux Kernel Mailing List, moderation, unmoderated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moderation Context triple: [Linux Kernel Mailing List, moderation, unmoderated]
-
A.
moderator
Indicates that one entity serves as a moderator for another entity, overseeing, managing, or facilitating its activities, interactions, or content.
-
B.
modulates
Indicates that one entity adjusts, regulates, or alters the intensity, frequency, or effect of another entity or process.
-
C.
mode
Indicates the manner, method, or way in which an action, process, or interaction is carried out or occurs.
-
D.
discourse
Indicates that one entity engages in extended verbal or written communication or discussion with another entity.
-
E.
neutralized
Indicates that one entity has rendered another entity ineffective, harmless, or no longer able to exert its intended effect.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abceab9ce881909ae0a2f34515c11e |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5a530e8819094105aa92dfaf6b3 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abceaa42b88190a790355100fede3d |
completed | March 7, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:58 p.m.