Triple
T21942887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toisanese |
E541864
|
entity |
| Predicate | linguisticDistinctiveness |
P6520
|
FINISHED |
| Object | distinct from Standard Cantonese in phonology |
—
|
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: distinct from Standard Cantonese in phonology | Statement: [Toisanese, linguisticDistinctiveness, distinct from Standard Cantonese in phonology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticDistinctiveness Context triple: [Toisanese, linguisticDistinctiveness, distinct from Standard Cantonese in phonology]
-
A.
linguisticIdentity
Indicates that two or more entities share, express, or are characterized by the same language or linguistic affiliation.
-
B.
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).
-
C.
hasLinguisticVariety
Indicates that one entity possesses or exhibits a particular linguistic variety in relation to another entity or context.
-
D.
linguisticSignificance
Indicates the degree to which something is important, influential, or meaningful within a particular language or linguistic system.
-
E.
linguisticRegister
Indicates the level of formality or stylistic variety in which a linguistic expression is typically used within a given context.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242345dc8190aa6ddf61cf864e2d |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:56 p.m.