Triple
T31399325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | واسی |
E800949
|
entity |
| Predicate | خانواده_زبان_بزرگتر |
P52743
|
FINISHED |
| Object | 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: هندواروپایی | Statement: [واسی, خانواده_زبان_بزرگتر, هندواروپایی]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: خانواده_زبان_بزرگتر Context triple: [واسی, خانواده_زبان_بزرگتر, هندواروپایی]
-
A.
languageOfFamily
Indicates the language or languages commonly used or associated with a particular family.
-
B.
inLanguageFamily
Indicates that two languages belong to the same linguistic family or classification.
-
C.
languageFamily
Indicates that two or more languages belong to the same genealogical language family or linguistic lineage.
-
D.
hasLanguageFamilyHigher
Indicates that one language family is hierarchically higher or more encompassing than another language family in a classification structure.
-
E.
majorLanguageFamilies
chosen
Indicates that one entity is a primary or dominant language family to which the other entity (a language or group of languages) belongs.
- 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.