Triple
T28382922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEX boutique |
E718933
|
entity |
| Predicate | targetedSubculture |
P182835
|
FINISHED |
| Object | punks |
—
|
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: punks | Statement: [SEX boutique, targetedSubculture, punks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetedSubculture Context triple: [SEX boutique, targetedSubculture, punks]
-
A.
basedOnSubculture
Indicates that something is derived from, influenced by, or rooted in a particular subculture.
-
B.
influencedSubculture
Indicates that one entity has had a shaping or significant impact on the development, style, or practices of a particular subculture.
-
C.
notableSubculture
Indicates that one entity is a significant or well-recognized subculture within the context or domain of the other entity.
-
D.
revisitsSubculture
Indicates that an entity returns to and engages again with a particular subculture after having previously been involved with it.
-
E.
hasSubcultureStatus
Indicates that an entity holds a particular role, recognition, or standing within a specific subculture or subcultural context.
- 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f794f24e588190965e39b77534d53f |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: April 28, 2026, 1:08 a.m.