Triple
T3412780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cajun |
E71935
|
entity |
| Predicate | dialectFeature |
P6520
|
FINISHED |
| Object | code-switching between French and English |
—
|
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: code-switching between French and English | Statement: [Cajun, dialectFeature, code-switching between French and English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dialectFeature Context triple: [Cajun, dialectFeature, code-switching between French and English]
-
A.
regionalDialect
Indicates that one entity uses or is associated with a dialect specific to a particular geographic region in relation to another entity.
-
B.
notableDialect
Indicates that an entity is recognized for having a distinct or noteworthy dialect associated with it.
-
C.
dominantDialect
Indicates that one dialect is the primary or most influential form of a language within a particular context or region.
-
D.
linguisticFeature
chosen
Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
-
E.
focusesOnDialect
Indicates that the subject’s attention, work, or activity is specifically directed toward a particular dialect or set of dialects.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb90ba83c81909abdcddb334e64f6 |
completed | March 8, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69adadfcbc38819080852c18240451c5 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.