Triple
T27945198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PKR |
E700860
|
entity |
| Predicate | hasBanknotesInCirculation |
P173368
|
FINISHED |
| Object | Pakistani rupee banknotes |
—
|
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: Pakistani rupee banknotes | Statement: [PKR, hasBanknotesInCirculation, Pakistani rupee banknotes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBanknotesInCirculation Context triple: [PKR, hasBanknotesInCirculation, Pakistani rupee banknotes]
-
A.
hasBanknotes
Indicates that an entity possesses or contains one or more banknotes.
-
B.
hasBanknotesInPrimaryUnit
Indicates that an entity’s banknotes are denominated in the primary monetary unit of its currency system.
-
C.
hasBanknotesIssuedBy
Indicates that one entity possesses or contains banknotes that were issued by another entity.
-
D.
hadBanknotes
Indicates that an entity possessed or was in ownership of one or more banknotes at a given time.
-
E.
banknotesIssuedIn
Indicates the relationship where a specific set of banknotes was officially issued or put into circulation within a particular country, region, or jurisdiction.
- 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 27, 2026, 7:21 p.m.