Triple
T36312540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | /int/ |
E894100
|
entity |
| Predicate | nsfwPolicy |
P66545
|
FINISHED |
| Object | allows NSFW content within 4chan rules |
—
|
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: allows NSFW content within 4chan rules | Statement: [/int/, nsfwPolicy, allows NSFW content within 4chan rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nsfwPolicy Context triple: [/int/, nsfwPolicy, allows NSFW content within 4chan rules]
-
A.
hasNSFWPolicy
chosen
Indicates that an entity has an established policy governing the handling, display, or treatment of not-safe-for-work (NSFW) content.
-
B.
publicPolicy
Indicates that an entity is a government or institutional rule, principle, or course of action intended to address public issues or guide societal outcomes.
-
C.
containsAdultContent
Indicates that the referenced item includes material intended for adults, such as explicit sexual, violent, or otherwise age-restricted content.
-
D.
nudismPolicy
Indicates the rules or stance an entity has regarding the allowance, restriction, or regulation of nudism.
-
E.
contentRestriction
Indicates that access to or use of certain content is limited or controlled based on specified rules or conditions.
- 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_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.