Triple
T19944167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afghan judiciary |
E479379
|
entity |
| Predicate | languageOfProceedingsIncludes |
P80867
|
FINISHED |
| Object | Dari |
—
|
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: Dari | Statement: [Afghan judiciary, languageOfProceedingsIncludes, Dari]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfProceedingsIncludes Context triple: [Afghan judiciary, languageOfProceedingsIncludes, Dari]
-
A.
languageOfProceedingsOverseen
chosen
Indicates the language in which the proceedings that an entity oversees or presides over are conducted.
-
B.
languageOfJurisdiction
Indicates the language officially used for legal and administrative purposes within a given jurisdiction.
-
C.
languageOfCommunications
Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
-
D.
typeOfProceedings
Indicates the specific category or kind of legal or formal process under which an action or case is being conducted.
-
E.
languageOfIssue
Indicates the language in which a particular item, document, or resource is issued or published.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a64b2788190a49c4ed40aa93b98 |
completed | April 20, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69e537f47c508190853c4e009c6b5566 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.