Triple
T2458472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afghan afghani |
E54475
|
entity |
| Predicate | hasScriptOnBanknotes |
P40620
|
FINISHED |
| Object | Pashto |
—
|
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: Pashto | Statement: [Afghan afghani, hasScriptOnBanknotes, Pashto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScriptOnBanknotes Context triple: [Afghan afghani, hasScriptOnBanknotes, Pashto]
-
A.
hasBanknotes
Indicates that an entity possesses or contains one or more banknotes.
-
B.
issuesBanknotes
Indicates that an entity (typically a central bank or monetary authority) produces and puts banknotes into official circulation as legal tender.
-
C.
hasBanknotesIssuedBy
Indicates that one entity possesses or contains banknotes that were issued by another entity.
-
D.
frequentlyUsedBanknotes
Indicates that the referenced banknotes are commonly or regularly used in transactions within a given context or system.
-
E.
languageOnBanknotes
Indicates the language that is printed or used on a country's banknotes.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd49c5aa081909ab4f726a458b77f |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0b199488190aa381b36593ae1ac |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd49b5d2481908817aeb171e2bd61 |
completed | March 7, 2026, 7:32 a.m. |
Created at: March 6, 2026, 9:44 p.m.