Triple
T28423218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenwa people |
E719997
|
entity |
| Predicate | historicalLanguageShiftPressure |
P23674
|
FINISHED |
| Object | Arabic |
—
|
NE NERFINISHED |
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: Arabic | Statement: [Shenwa people, historicalLanguageShiftPressure, Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalLanguageShiftPressure Context triple: [Shenwa people, historicalLanguageShiftPressure, Arabic]
-
A.
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.
-
B.
historicalLanguageInfluenceOn
Indicates that one language has had a shaping or contributory effect on the development, vocabulary, structure, or usage of another language over time.
-
C.
historicalLanguage
Indicates that one language is a historical or earlier form/ancestor of another language.
-
D.
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.
-
E.
historicalLanguageFeature
Indicates that a language possesses a feature, trait, or characteristic that existed or was relevant in a past historical period.
- 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_69eff6f1c5088190bc24bfbf92f9c017 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
Created at: April 28, 2026, 1:35 a.m.