Triple
T28388952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 南岸区 |
E719096
|
entity |
| Predicate | majorSpokenDialect |
P24988
|
FINISHED |
| Object | 西南官话 |
—
|
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: 西南官话 | Statement: [南岸区, majorSpokenDialect, 西南官话]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorSpokenDialect Context triple: [南岸区, majorSpokenDialect, 西南官话]
-
A.
majorDialectOf
Indicates that one dialect is the primary or most prominent dialect associated with a particular language or region.
-
B.
dominantDialect
chosen
Indicates that one dialect is the primary or most influential form of a language within a particular context or region.
-
C.
oneOfMainDialectsOf
Indicates that a dialect is one of the primary or principal dialects associated with a particular language or linguistic group.
-
D.
regionalDialect
Indicates that one entity uses or is associated with a dialect specific to a particular geographic region in relation to another entity.
-
E.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 28, 2026, 1:12 a.m.