Triple

T29253945
Position Surface form Disambiguated ID Type / Status
Subject Bistrot Chez Rémy E741644 entity
Predicate immersiveDesignFeature P57584 FINISHED
Object guests feel shrunk to the size of a rat 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: guests feel shrunk to the size of a rat | Statement: [Bistrot Chez Rémy, immersiveDesignFeature, guests feel shrunk to the size of a rat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: immersiveDesignFeature
Context triple: [Bistrot Chez Rémy, immersiveDesignFeature, guests feel shrunk to the size of a rat]
  • A. immersive
    Indicates that an experience or environment fully surrounds and engages an entity’s senses or attention, creating a strong feeling of being present within it.
  • B. designedFeature chosen
    Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
  • C. testedDesignFeature
    Indicates that a specific design feature has been subjected to a test or evaluation process.
  • D. usedDesignFeature
    Indicates that one entity employed or incorporated a particular design feature in its creation, implementation, or functionality.
  • E. featuresIn
    Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
  • 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_69f0911eba2c8190b07cd2fdf91422c9 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f664ac0f488190ba511fe5c68babfc completed May 2, 2026, 8:55 p.m.
PD Predicate disambiguation batch_69f660f2e3708190ab658652bcfc04d0 completed May 2, 2026, 8:39 p.m.
Created at: April 28, 2026, 12:35 p.m.