Triple
T27415028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piapoco |
E692867
|
entity |
| Predicate | isSubjectToLanguageShiftTowards |
P99457
|
FINISHED |
| Object | Spanish |
—
|
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: Spanish | Statement: [Piapoco, isSubjectToLanguageShiftTowards, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSubjectToLanguageShiftTowards Context triple: [Piapoco, isSubjectToLanguageShiftTowards, Spanish]
-
A.
riskOfLanguageShift
chosen
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.
-
B.
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.
-
C.
languageShiftPressureFrom
Indicates pressure exerted by one entity that causes or encourages another entity to shift away from its current language toward a different language.
-
D.
hasCulturalShift
Indicates a change in the prevailing beliefs, values, norms, or practices within a group, organization, or society over time.
-
E.
influencesLanguageOf
Indicates that one entity affects, shapes, or alters the language used by another 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_69ef5208617081908f731d312e0fd1bc |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 12:33 p.m.