Triple

T23796300
Position Surface form Disambiguated ID Type / Status
Subject Louvre-Lens E588549 entity
Predicate architectOfLandscape P19613 FINISHED
Object Catherine Mosbach
Catherine Mosbach is a renowned French landscape architect known for her innovative, site-specific public projects and collaborations with major cultural institutions.
 E1607249 NE FINISHED

How this triple was built (3 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: Catherine Mosbach | Statement: [Louvre-Lens, architectOfLandscape, Catherine Mosbach]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Catherine Mosbach
Triple: [Louvre-Lens, architectOfLandscape, Catherine Mosbach]
Generated description
Catherine Mosbach is a renowned French landscape architect known for her innovative, site-specific public projects and collaborations with major cultural institutions.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: architectOfLandscape
Context triple: [Louvre-Lens, architectOfLandscape, Catherine Mosbach]
  • A. landscapeDesignedBy chosen
    Indicates that a particular landscape or outdoor environment was planned, created, or shaped by a specific designer or design entity.
  • B. architectOfStructure
    Indicates that an entity is the designer or creator responsible for the architectural design of a particular structure.
  • C. hasLandscapeArchitecturalStyle
    Indicates that something (such as a site or landscape) is designed or characterized according to a particular landscape architectural style.
  • D. coArchitectOf
    Indicates a relationship where two or more entities jointly serve as architects of the same project, design, or structure.
  • E. landscapeElement
    Indicates that one entity functions as a landscape-related feature or component in relation to another entity.
  • F. None of above.

Provenance (6 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_69e25d15db58819092ac1e6791696fd9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c6dc94d481908800385a58d2c452 completed April 29, 2026, 8:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f760c73e081908a5bb834cc82c383 completed May 21, 2026, 9:15 p.m.
NEDg Description generation batch_6a0f76a8397081909ddde2410c127208 completed May 21, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0f77e88a4c819099511cdcf7357ab7 completed May 21, 2026, 9:23 p.m.
PD Predicate disambiguation batch_69f155fe300481909bd617443228df65 completed April 29, 2026, 12:51 a.m.
Created at: April 17, 2026, 7:48 p.m.