Triple

T12973480
Position Surface form Disambiguated ID Type / Status
Subject Miss K lamp E321461 entity
Predicate shadeCharacteristic P30545 FINISHED
Object translucent 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: translucent | Statement: [Miss K lamp, shadeCharacteristic, translucent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shadeCharacteristic
Context triple: [Miss K lamp, shadeCharacteristic, translucent]
  • A. lightingCharacteristic chosen
    Indicates the specific qualities or properties of how something is lit, such as brightness, color, direction, or style of illumination.
  • B. catalogCharacteristic
    Indicates that a catalog has a specific characteristic or attribute associated with it.
  • C. colorFieldCharacteristic
    Indicates that a field or attribute is characterized or distinguished by a specific color.
  • D. dataCharacteristic
    Indicates that one entity specifies a property, attribute, or feature that characterizes a given piece of data.
  • E. sceneFeature
    Indicates a characteristic, element, or attribute that is present within or helps define a particular scene.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97f2a71a0819098bb6cf8a4b2208a completed April 10, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69d97dbdd94c8190ac4bbecca02dc77b completed April 10, 2026, 10:46 p.m.
Created at: April 9, 2026, 8:36 p.m.