Triple
T24989188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نظامی گنجوی |
E625401
|
entity |
| Predicate | زبان مادری منسوب |
P151
|
FINISHED |
| Object | فارسی یا زبانهای ایرانی قفقاز |
—
|
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: فارسی یا زبانهای ایرانی قفقاز | Statement: [نظامی گنجوی, زبان مادری منسوب, فارسی یا زبانهای ایرانی قفقاز]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: زبان مادری منسوب Context triple: [نظامی گنجوی, زبان مادری منسوب, فارسی یا زبانهای ایرانی قفقاز]
-
A.
parentLanguage
Indicates that one language is the ancestral or source language from which another language is derived or historically developed.
-
B.
nativeLanguage
chosen
Indicates the language that a person or entity originally learned and uses as their primary or first language.
-
C.
primaryLanguageHeritage
Indicates that one language is the main ancestral or culturally inherited language associated with an entity.
-
D.
primaryLanguageOf
Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
-
E.
motherIs
Indicates that one entity is the mother (biological or adoptive) of another 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44a42f61c8190bcb01ceec1f889b1 |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:03 a.m.