Triple
T26383498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoanya people |
E663206
|
entity |
| Predicate | linguisticShift |
P4292
|
FINISHED |
| Object | shift to Taiwanese Hokkien |
—
|
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: shift to Taiwanese Hokkien | Statement: [Hoanya people, linguisticShift, shift to Taiwanese Hokkien]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticShift Context triple: [Hoanya people, linguisticShift, shift to Taiwanese Hokkien]
-
A.
languageShift
chosen
Indicates a change in the primary language used by an entity, such as switching from one language to another over time or in a given context.
-
B.
riskOfLanguageShift
Indicates that there is a likelihood or tendency for one language to be replaced or significantly reduced in use by another within a given community or context.
-
C.
heritageLanguageShift
Indicates a change over time in which a community or individual moves away from using their ancestral or heritage language toward another dominant language.
-
D.
linguisticInfluence
Indicates that one entity has affected, shaped, or contributed to the language, style, or linguistic features of another entity.
-
E.
causeOfLanguageShift
Indicates a factor or event that leads to a change from one dominant language or linguistic pattern to another within a community or population.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610779e3481909bda4d2b1c5c4cb0 |
completed | May 2, 2026, 2:55 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 11:20 p.m.