Triple
T28536796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent County, New Brunswick |
E722183
|
entity |
| Predicate | dialectSpoken |
P92545
|
FINISHED |
| Object | Chiac |
—
|
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: Chiac | Statement: [Kent County, New Brunswick, dialectSpoken, Chiac]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dialectSpoken Context triple: [Kent County, New Brunswick, dialectSpoken, Chiac]
-
A.
dialectDocumentation
Indicates that there exists documentation or descriptive information specifically about a particular dialect or dialectal variety.
-
B.
dialectStatus
Indicates the status or classification of a language variety as a dialect within a broader linguistic system.
-
C.
languageGroupSpoken
chosen
Indicates that a particular language group is spoken or used for communication by an entity.
-
D.
isSpokenAs
Indicates that one entity is used as the spoken or verbal form of another entity (e.g., a word, name, or phrase).
-
E.
regionalDialect
Indicates that one entity uses or is associated with a dialect specific to a particular geographic region in relation to another entity.
- 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64fda797081909e259eb25d51e206 |
completed | May 2, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:32 a.m.