Triple

T1977618
Position Surface form Disambiguated ID Type / Status
Subject The Open Window E42950 entity
Predicate hasArtMarketStatus P33018 FINISHED
Object museum collection, not privately owned 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: museum collection, not privately owned | Statement: [The Open Window, hasArtMarketStatus, museum collection, not privately owned]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArtMarketStatus
Context triple: [The Open Window, hasArtMarketStatus, museum collection, not privately owned]
  • A. artMarketNotability
    Indicates that an entity has recognized significance or prominence within the art market, such as through sales, auctions, or professional recognition.
  • B. hasMarket
    Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
  • C. hasArtCollection
    Indicates that an entity possesses, maintains, or is associated with a collection of artworks.
  • D. hasArtGallery
    Indicates that one entity possesses, contains, or hosts an art gallery as part of its facilities or offerings.
  • E. exhibitStatus
    Indicates the current state or condition of an exhibit within a display, collection, or presentation context.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb42ecde881909bc9132885d8d0bd completed March 7, 2026, 5:14 a.m.
PD Predicate disambiguation batch_69abaff9a09c8190a81fa13f4b85bc79 completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb09b27e88190bff164040fef6d7e completed March 7, 2026, 4:59 a.m.
Created at: March 4, 2026, 7:36 p.m.