Triple
T20186709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pygmy Puffs |
E492879
|
entity |
| Predicate | currencyUsedToBuy |
P188
|
FINISHED |
| Object | Galleons |
—
|
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: Galleons | Statement: [Pygmy Puffs, currencyUsedToBuy, Galleons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyUsedToBuy Context triple: [Pygmy Puffs, currencyUsedToBuy, Galleons]
-
A.
currencyUsedFor
Indicates that a particular currency is used as the medium of exchange or legal tender for a given entity, such as a country, region, or organization.
-
B.
currencyGiven
Indicates that one entity transfers or provides money or a monetary unit to another entity.
-
C.
usesCurrency
chosen
Indicates that one entity conducts its financial transactions or values using the monetary unit represented by the other entity.
-
D.
currencyType
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
-
E.
currencyOfPurse
Indicates the type of currency that is contained in or associated with a given purse.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad143c48190b9d52c331e8101d6 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:36 p.m.