Triple
T3801862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meglen region |
E91705
|
entity |
| Predicate | languageShiftTrend |
P4292
|
FINISHED |
| Object | Megleno-Romanian to dominant national languages |
—
|
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: Megleno-Romanian to dominant national languages | Statement: [Meglen region, languageShiftTrend, Megleno-Romanian to dominant national languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageShiftTrend Context triple: [Meglen region, languageShiftTrend, Megleno-Romanian to dominant national languages]
-
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.
languageShiftPressureFrom
Indicates pressure exerted by one entity that causes or encourages another entity to shift away from its current language toward a different language.
-
C.
languageDiversity
Indicates the degree to which multiple distinct languages are present and used within a given context or population.
-
D.
languageInfluence
Indicates that one language has an effect on the development, usage, or characteristics of another language.
-
E.
languageUse
Indicates the language or languages an entity uses for communication, expression, or interaction.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.