Triple
T24893178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kwadèbouke |
E623059
|
entity |
| Predicate | hasArtMarket |
P159697
|
FINISHED |
| Object | tourist-oriented metal art market |
—
|
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: tourist-oriented metal art market | Statement: [Kwadèbouke, hasArtMarket, tourist-oriented metal art market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtMarket Context triple: [Kwadèbouke, hasArtMarket, tourist-oriented metal art market]
-
A.
hasArtMarketStatus
Indicates that an entity holds a particular status or condition within the art market, such as its market recognition, activity, or classification.
-
B.
artMarketNotability
Indicates that an entity has recognized significance or prominence within the art market, such as through sales, auctions, or professional recognition.
-
C.
hasArtCollection
Indicates that an entity possesses, maintains, or is associated with a collection of artworks.
-
D.
hasArtScene
Indicates that a place or community possesses an active or notable community of artistic activity, events, and institutions.
-
E.
artMarketCategory
Indicates the classification of an artwork within the art market, such as its segment, type, or commercial category.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f5f7a205688190b8f36bff5013247c |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 18, 2026, 5:26 a.m.