Triple
T36461327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karata language |
E898294
|
entity |
| Predicate | largerLiteraryLanguageUsedBySpeakers |
P185527
|
FINISHED |
| Object | Avar language |
—
|
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: Avar language | Statement: [Karata language, largerLiteraryLanguageUsedBySpeakers, Avar language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largerLiteraryLanguageUsedBySpeakers Context triple: [Karata language, largerLiteraryLanguageUsedBySpeakers, Avar language]
-
A.
literaryLanguage
Indicates that an entity is expressed, written, or communicated using a particular literary or standardized written language.
-
B.
literaryLanguageRegion
Indicates the region or geographic area where a particular literary language is or was predominantly used.
-
C.
literaryLanguageStage
Indicates the specific historical or developmental stage of a language as used in literary texts.
-
D.
languageWrittenAbout
Indicates that something is written about or concerning a particular language.
-
E.
languageOfWritings
Indicates that a specified language is the one in which certain writings or written works are composed.
- F. None of above. chosen
Provenance (4 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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.