Triple

T1889053
Position Surface form Disambiguated ID Type / Status
Subject Biomuseo E41826 entity
Predicate hasPermanentExhibitions P16135 FINISHED
Object yes 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: yes | Statement: [Biomuseo, hasPermanentExhibitions, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPermanentExhibitions
Context triple: [Biomuseo, hasPermanentExhibitions, yes]
  • A. hasExhibits
    Indicates that an entity (such as a museum, gallery, or event) displays or presents certain items, artworks, or objects as part of its collection or show.
  • B. hasOutdoorExhibits
    Indicates that a place or institution includes exhibits or displays located in outdoor or open-air areas.
  • C. hasOnsiteMuseumOrExhibits chosen
    Indicates that a place includes an on-site museum or exhibit area available for visitors.
  • D. hasInteractiveExhibits
    Indicates that something contains exhibits designed for active participation or engagement by the audience.
  • E. museumHolds
    Indicates that a museum possesses, preserves, or has custody of a particular item or collection within its holdings.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb142e41881908fc7335673a9dec3 completed March 7, 2026, 5:01 a.m.
PD Predicate disambiguation batch_69abafe61bc48190ac9ead027df930e1 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:34 p.m.