Triple

T22144869
Position Surface form Disambiguated ID Type / Status
Subject London Public Museum E547258 entity
Predicate hadCollectionType P17367 FINISHED
Object art collection 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: art collection | Statement: [London Public Museum, hadCollectionType, art collection]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadCollectionType
Context triple: [London Public Museum, hadCollectionType, art collection]
  • A. hasCollection
    Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
  • B. collectionTypeAccessed
    Indicates that an entity has accessed or interacted with a particular type of collection.
  • C. haveType
    Indicates that an entity belongs to or is classified under a specified type or category.
  • D. hasCollectionFrom
    Indicates that an entity possesses or maintains a collection that originates from, or is sourced from, another specified entity.
  • E. hasArtCollection chosen
    Indicates that an entity possesses, maintains, or is associated with a collection of artworks.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129efd52c8190ab0acff5bbfc0d77 completed April 28, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69e71b384e008190b723c9a0f1089d66 completed April 21, 2026, 6:37 a.m.
Created at: April 16, 2026, 8:33 p.m.