Triple
T31399350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | اشکونی |
E800950
|
entity |
| Predicate | ردهٔزبانی |
P33198
|
FINISHED |
| Object | زبانهای نورستانی |
—
|
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: زبانهای نورستانی | Statement: [اشکونی, ردهٔزبانی, زبانهای نورستانی]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ردهٔزبانی Context triple: [اشکونی, ردهٔزبانی, زبانهای نورستانی]
-
A.
linguisticClassification
Indicates the relationship by which an entity is categorized according to its language or linguistic type.
-
B.
glottoCategory
chosen
Indicates the linguistic classification or type (such as language family, subgroup, or category) to which a language or dialect is assigned.
-
C.
linguisticClassificationBasis
Indicates the criterion or principle used as the basis for classifying something within a linguistic system or framework.
-
D.
linguisticType
Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
-
E.
linguisticField
Indicates that something pertains to or is associated with a particular area or subdiscipline within linguistics.
- 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 29, 2026, 9:19 p.m.