Triple
T16735616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia do Homem Nu |
E406708
|
entity |
| Predicate | nudityPolicy |
P80386
|
FINISHED |
| Object | clothing-optional |
—
|
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: clothing-optional | Statement: [Praia do Homem Nu, nudityPolicy, clothing-optional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nudityPolicy Context triple: [Praia do Homem Nu, nudityPolicy, clothing-optional]
-
A.
nudismPolicy
chosen
Indicates the rules or stance an entity has regarding the allowance, restriction, or regulation of nudism.
-
B.
nudity
Indicates that an entity is unclothed or exposes parts of the body typically covered, representing a state or depiction of being nude.
-
C.
hasNSFWPolicy
Indicates that an entity has an established policy governing the handling, display, or treatment of not-safe-for-work (NSFW) content.
-
D.
depictsSex
Indicates that one entity visually represents or portrays sexual activity or sexual content involving another entity.
-
E.
bodyCoverage
Indicates the extent or proportion of an entity’s body that is covered by another substance, material, or feature.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c39c570819088723d59242c5c5c |
completed | April 18, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.