Triple

T29203028
Position Surface form Disambiguated ID Type / Status
Subject Gerard Corboud E740331 entity
Predicate loanedCollectionTo P67650 FINISHED
Object Wallraf-Richartz Museum NE NERFINISHED

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: Wallraf-Richartz Museum | Statement: [Gerard Corboud, loanedCollectionTo, Wallraf-Richartz Museum]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: loanedCollectionTo
Context triple: [Gerard Corboud, loanedCollectionTo, Wallraf-Richartz Museum]
  • A. loanedTo chosen
    Indicates that one entity has temporarily provided something it owns or controls to another entity with the expectation of its return.
  • B. loanedFor
    Indicates that one entity has been temporarily provided to another entity for a specified purpose, duration, or use under agreed loan conditions.
  • C. lendAt
    Indicates that one entity provides something (typically money or an asset) to another entity for temporary use under agreed terms, usually expecting its return or repayment.
  • D. hasBorrowingsFrom
    Indicates that one entity has taken, adopted, or derived elements (such as features, ideas, or content) from another entity.
  • E. loanSpellAt
    Indicates that an entity (typically a player) is temporarily assigned to another entity (typically a club or team) on a loan basis for a specific period.
  • 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_69f07cb974108190b7e86ca489a6ebb6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f663c7b4f48190b66f966af570e768 completed May 2, 2026, 8:51 p.m.
PD Predicate disambiguation batch_69f65c24f8b48190af81b575f3c15be5 completed May 2, 2026, 8:18 p.m.
Created at: April 28, 2026, 12:07 p.m.