Triple
T29689164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foong |
E751167
|
entity |
| Predicate | derivedFromLanguageVariety |
P64609
|
FINISHED |
| Object | Southern Chinese dialects |
—
|
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: Southern Chinese dialects | Statement: [Foong, derivedFromLanguageVariety, Southern Chinese dialects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivedFromLanguageVariety Context triple: [Foong, derivedFromLanguageVariety, Southern Chinese dialects]
-
A.
partOfLinguisticVariety
chosen
Indicates that one linguistic variety (such as a dialect, register, or style) is a constituent or subset of another, broader linguistic variety.
-
B.
denotesLanguageVariety
Indicates that one entity specifies the particular variety, dialect, or form of language used or associated with another entity.
-
C.
derivedFromLanguageFamily
Indicates that one language originates from, or historically descends from, a particular language family.
-
D.
hasLinguisticVariety
Indicates that one entity possesses or exhibits a particular linguistic variety in relation to another entity or context.
-
E.
primaryLanguageVariety
Indicates the main dialect or specific variety of a language that an entity primarily uses.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 28, 2026, 7:15 p.m.