Triple
T2617536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Caprichos |
E58925
|
entity |
| Predicate | originalSaleLocation |
P15059
|
FINISHED |
| Object | perfume and liquor shop in Madrid |
—
|
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: perfume and liquor shop in Madrid | Statement: [Los Caprichos, originalSaleLocation, perfume and liquor shop in Madrid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSaleLocation Context triple: [Los Caprichos, originalSaleLocation, perfume and liquor shop in Madrid]
-
A.
purchaseLocation
Indicates the place or venue where a purchase or transaction is made.
-
B.
soldAt
chosen
Indicates that a product or item is offered for sale at a particular location, venue, or outlet.
-
C.
purchasedFrom
Indicates that one entity bought or acquired something from another entity as the seller or source.
-
D.
cityOfOriginal
Indicates the city from which something or someone originally comes or was first created or established.
-
E.
originalPrice
Indicates the monetary amount that something initially cost before any discounts, changes, or adjustments were applied.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdaca581881908fe8d3d820f839b7 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd80f48888190afdf7e3e042157d0 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.