Triple
T8043276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garçon à la pipe |
E187484
|
entity |
| Predicate | currencyOfAuctionPrice |
P74236
|
FINISHED |
| Object | USD |
—
|
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: USD | Statement: [Garçon à la pipe, currencyOfAuctionPrice, USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyOfAuctionPrice Context triple: [Garçon à la pipe, currencyOfAuctionPrice, USD]
-
A.
currencyDepicted
Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
-
B.
currencyGiven
Indicates that one entity transfers or provides money or a monetary unit to another entity.
-
C.
currencyOfDenomination
Indicates that one currency unit is a specific denomination or face value within another currency system.
-
D.
primaryListingCurrency
chosen
Indicates the currency in which an asset, security, or item is primarily listed or denominated for trading or reference.
-
E.
currencyType
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
- 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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f49dcfc81909ac7c93e19ad05c2 |
completed | March 31, 2026, 3:28 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:23 p.m.