Triple
T7835083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yousafzai Pashtun area |
E181670
|
entity |
| Predicate | dominantLanguageVariety |
P24988
|
FINISHED |
| Object | Yousafzai dialect of Pashto |
—
|
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: Yousafzai dialect of Pashto | Statement: [Yousafzai Pashtun area, dominantLanguageVariety, Yousafzai dialect of Pashto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dominantLanguageVariety Context triple: [Yousafzai Pashtun area, dominantLanguageVariety, Yousafzai dialect of Pashto]
-
A.
primaryLanguageVariety
Indicates the main dialect or specific variety of a language that an entity primarily uses.
-
B.
linguisticVariant
Indicates that one linguistic form is an alternative version or expression of another within the same or closely related language context.
-
C.
partOfLinguisticVariety
Indicates that one linguistic variety (such as a dialect, register, or style) is a constituent or subset of another, broader linguistic variety.
-
D.
dominantDialect
chosen
Indicates that one dialect is the primary or most influential form of a language within a particular context or region.
-
E.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064b872081908e269f4fe1b85436 |
completed | March 30, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:45 p.m.