Triple

T10386728
Position Surface form Disambiguated ID Type / Status
Subject Johnson Wax Headquarters E244780 entity
Predicate hasLightingDesignFeature P57584 FINISHED
Object indirect lighting 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: indirect lighting | Statement: [Johnson Wax Headquarters, hasLightingDesignFeature, indirect lighting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLightingDesignFeature
Context triple: [Johnson Wax Headquarters, hasLightingDesignFeature, indirect lighting]
  • A. hasLighting
    Indicates that one entity is equipped with, contains, or is characterized by a particular type or configuration of lighting.
  • B. hasLightingEffect
    Indicates that one entity applies, produces, or is associated with a particular lighting effect on another entity or environment.
  • C. hasLightingImprovements
    Indicates that an entity has enhancements or upgrades made to its lighting conditions or systems.
  • D. designedFeature chosen
    Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
  • E. lightingCharacteristic
    Indicates the specific qualities or properties of how something is lit, such as brightness, color, direction, or style of illumination.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9a4e6748190bd9dd319de94c659 completed April 7, 2026, 11:25 a.m.
PD Predicate disambiguation batch_69d4dfb0e7a88190bec0b7a52c70dfe2 completed April 7, 2026, 10:42 a.m.
Created at: April 6, 2026, 12:05 p.m.