Triple
T12658216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negidal language |
E302343
|
entity |
| Predicate | languageShiftCause |
P23674
|
FINISHED |
| Object | Russification policies |
—
|
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: Russification policies | Statement: [Negidal language, languageShiftCause, Russification policies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageShiftCause Context triple: [Negidal language, languageShiftCause, Russification policies]
-
A.
languageShift
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.
languageAffected
Indicates that one entity has an impact on, modifies, or influences the characteristics, usage, or status of a language.
-
C.
causeOfLanguageShift
chosen
Indicates a factor or event that leads to a change from one dominant language or linguistic pattern to another within a community or population.
-
D.
languageShiftPressureFrom
Indicates pressure exerted by one entity that causes or encourages another entity to shift away from its current language toward a different language.
-
E.
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.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:19 p.m.