Triple
T17338679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Academy Summer Exhibition |
E421007
|
entity |
| Predicate | hasSalesComponent |
P127081
|
FINISHED |
| Object | many exhibited works are for sale |
—
|
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: many exhibited works are for sale | Statement: [Royal Academy Summer Exhibition, hasSalesComponent, many exhibited works are for sale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSalesComponent Context triple: [Royal Academy Summer Exhibition, hasSalesComponent, many exhibited works are for sale]
-
A.
hasProduct
Indicates that an entity possesses, offers, or is associated with a particular product.
-
B.
isSoldIn
Indicates that a product or item is available for purchase within a specified location, market, or sales channel.
-
C.
hasSoldOver
Indicates that one entity has sold a quantity of something exceeding a specified threshold or the amount sold by another entity.
-
D.
hasHolidaySales
Indicates that an entity conducts or experiences sales or promotional events specifically associated with holidays.
-
E.
hasTrade
Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity with another entity.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a13dd44819091d296c764976dfe |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.