Triple
T27945199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PKR |
E700860
|
entity |
| Predicate | hasCoinsInCirculation |
P199854
|
FINISHED |
| Object | Pakistani rupee coins |
—
|
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 coins | Statement: [PKR, hasCoinsInCirculation, Pakistani rupee coins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoinsInCirculation Context triple: [PKR, hasCoinsInCirculation, Pakistani rupee coins]
-
A.
hasBanknotesInCirculation
Indicates that a monetary authority or issuer currently has a specified quantity of its banknotes actively circulating in the economy.
-
B.
hasCoins
Indicates that an entity possesses or holds one or more coins.
-
C.
isUsedForCoins
Indicates that something serves the function or purpose of holding, storing, or handling coins.
-
D.
timeInCirculation
Indicates the duration for which something has been in active use, distribution, or circulation.
-
E.
coinageFeature
Indicates a characteristic, design element, or attribute that is present on or associated with a particular coin or type of coinage.
- 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_69ff5f5ecc808190b2df364da108ff4c |
completed | May 9, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ff5b84131c8190bf81d7fb53e934bc |
completed | May 9, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69ff5f5ddfcc819092563419f9e82d60 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 27, 2026, 7:21 p.m.