Triple
T26310508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yves Saint Laurent Rive Gauche boutique |
E661806
|
entity |
| Predicate | currencyOfPrices |
P11731
|
FINISHED |
| Object | French franc |
—
|
NE NERFINISHED |
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: French franc | Statement: [Yves Saint Laurent Rive Gauche boutique, currencyOfPrices, French franc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyOfPrices Context triple: [Yves Saint Laurent Rive Gauche boutique, currencyOfPrices, French franc]
-
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.
currencyType
chosen
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
-
D.
currencyCountry
Indicates that a given currency is officially used as legal tender in a particular country.
-
E.
currencyProduced
Indicates that an entity is responsible for creating, issuing, or generating a particular form of currency.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 26, 2026, 10:22 p.m.