Triple
T35811947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | სომხები |
E1035253
|
entity |
| Predicate | სახელმწიფო ენა სომხეთში |
P170138
|
FINISHED |
| Object | სომხური ენა |
—
|
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: სომხური ენა | Statement: [სომხები, სახელმწიფო ენა სომხეთში, სომხური ენა]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: სახელმწიფო ენა სომხეთში Context triple: [სომხები, სახელმწიფო ენა სომხეთში, სომხური ენა]
-
A.
isWorldLanguage
Indicates that a language is widely used across multiple countries or regions and serves as a common means of communication beyond its original native community.
-
B.
hasLanguageSphere
Indicates that one entity falls within the linguistic influence, usage domain, or coverage area defined by another entity’s language.
-
C.
languageNameInSesotho
Indicates the name of a language as expressed in the Sesotho language.
-
D.
isWidelySpokenIn
Indicates that a language is spoken by a large portion of the population across many regions or communities within a specified area.
-
E.
所在国の言語
chosen
Indicates the language that is used in or officially associated with the country where the entity is located.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.