Triple

T525144
Position Surface form Disambiguated ID Type / Status
Subject André Le Nôtre E10899 entity
Predicate trainedAt P2858 FINISHED
Object Tuileries Garden (family workshop) 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: Tuileries Garden (family workshop) | Statement: [André Le Nôtre, trainedAt, Tuileries Garden (family workshop)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trainedAt
Context triple: [André Le Nôtre, trainedAt, Tuileries Garden (family workshop)]
  • A. trainingInstitution chosen
    Indicates that one entity serves as the institution or organization where another entity receives training or education.
  • B. studiedUnder
    Indicates that one entity received instruction, training, or mentorship from another, typically in an academic or apprenticeship context.
  • C. isStudiedIn
    Indicates that a subject (such as a topic, field, or phenomenon) is examined, researched, or learned about within a particular context, environment, or discipline.
  • D. educatedAt
    Indicates that an entity received education or formal training at a specified institution or place of learning.
  • E. educationType
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b7f448819087e5e7f3b37d7142 completed Feb. 28, 2026, 1:46 p.m.
PD Predicate disambiguation batch_69a2f0198ecc8190883849e5a8245963 completed Feb. 28, 2026, 1:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.