Triple
T36312221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | /b/ |
E894093
|
entity |
| Predicate | hasModerationStyle |
P86122
|
FINISHED |
| Object | light moderation |
—
|
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: light moderation | Statement: [/b/, hasModerationStyle, light moderation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModerationStyle Context triple: [/b/, hasModerationStyle, light moderation]
-
A.
usesModerator
Indicates that an entity employs or relies on a moderator to oversee, regulate, or manage its interactions or processes.
-
B.
moderationMechanism
Indicates a process or system that regulates, controls, or adjusts the intensity, impact, or expression of something within a broader context.
-
C.
moderatorType
Indicates the role or category of moderation associated with an entity within a system or context.
-
D.
moderation
Indicates that an entity exercises restraint, balance, or avoidance of extremes in its actions, behavior, or use of resources.
-
E.
hasManner
chosen
Indicates the way, style, or method in which an action is performed or a relation is carried out.
- 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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff53389a0481908b2baeb43c6294f0 |
completed | May 9, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69ff52e2b4b88190b38d160d771fe14b |
completed | May 9, 2026, 3:29 p.m. |
Created at: May 3, 2026, 4:09 p.m.