Triple
T32787280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Cushitic |
E838531
|
entity |
| Predicate | hasLinguisticSubstrateInfluenceOn |
P23173
|
FINISHED |
| Object | local Arabic varieties (Beja contact) |
—
|
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: local Arabic varieties (Beja contact) | Statement: [North Cushitic, hasLinguisticSubstrateInfluenceOn, local Arabic varieties (Beja contact)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLinguisticSubstrateInfluenceOn Context triple: [North Cushitic, hasLinguisticSubstrateInfluenceOn, local Arabic varieties (Beja contact)]
-
A.
linguisticInfluence
Indicates that one entity has affected, shaped, or contributed to the language, style, or linguistic features of another entity.
-
B.
hasGrammarInfluencedBy
Indicates that the grammatical structure or rules of one language or system are shaped or affected by the grammar of another.
-
C.
influencesLanguageOf
Indicates that one entity affects, shapes, or alters the language used by another entity.
-
D.
ethnolinguisticInfluence
Indicates how one ethnolinguistic group or language affects, shapes, or contributes to the characteristics, practices, or development of another.
-
E.
languageInfluence
chosen
Indicates that one language has an effect on the development, usage, or characteristics of another language.
- 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_69f3493b83f48190be335cd42465cecf |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: May 1, 2026, 1:14 a.m.