Triple
T21875085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crips |
E540115
|
entity |
| Predicate | hasSlang |
P146004
|
FINISHED |
| Object | Crip vernacular |
—
|
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: Crip vernacular | Statement: [Crips, hasSlang, Crip vernacular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSlang Context triple: [Crips, hasSlang, Crip vernacular]
-
A.
usesSlangFrom
Indicates that one entity incorporates or employs slang expressions originating from another entity or source.
-
B.
hasMeaningInEnglishSlang
Indicates that something (such as a word, phrase, or expression) carries a particular meaning specifically within English slang usage.
-
C.
hasColloquialVariety
Indicates that one linguistic form, expression, or variety is an informal, colloquial counterpart or version of another.
-
D.
isColloquialTerm
Indicates that one term is an informal or non-standard, colloquial way of referring to another term or concept.
-
E.
hasLanguageOn
Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33957f481908789b054a4fd1b77 |
completed | April 28, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 7:02 p.m.