Triple
T31399336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | واسی |
E800949
|
entity |
| Predicate | ردهبندی_زبانشناختی |
P10465
|
FINISHED |
| Object | نورستانی ← هندوایرانی ← هندواروپایی |
—
|
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: نورستانی ← هندوایرانی ← هندواروپایی | Statement: [واسی, ردهبندی_زبانشناختی, نورستانی ← هندوایرانی ← هندواروپایی]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ردهبندی_زبانشناختی Context triple: [واسی, ردهبندی_زبانشناختی, نورستانی ← هندوایرانی ← هندواروپایی]
-
A.
linguisticClassification
chosen
Indicates the relationship by which an entity is categorized according to its language or linguistic type.
-
B.
linguisticClassificationBasis
Indicates the criterion or principle used as the basis for classifying something within a linguistic system or framework.
-
C.
linguisticClassificationNote
Indicates a note providing additional information or commentary about how something is linguistically classified.
-
D.
linguisticStudies
Indicates that an entity engages in or is associated with the academic study or analysis of language and its structure.
-
E.
hasLinguisticTypology
Indicates a relationship where a language or linguistic system is characterized by a specific typological classification or structural type.
- 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_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 9:19 p.m.