Triple

T7900352
Position Surface form Disambiguated ID Type / Status
Subject Second Story Sunlight E183434 entity
Predicate depictsArchitectureType P4631 FINISHED
Object American house 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: American house | Statement: [Second Story Sunlight, depictsArchitectureType, American house]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: depictsArchitectureType
Context triple: [Second Story Sunlight, depictsArchitectureType, American house]
  • A. renderingArchitecture
    Indicates the specific rendering system or framework used to generate visual output for a given entity or environment.
  • B. architectureType chosen
    Indicates the specific style or category of architecture that characterizes or defines an entity.
  • C. architecturalIllustrationsBy
    Indicates a relationship where one entity has produced or created architectural illustrations for another entity.
  • D. architecturalWork
    Indicates that one entity is an architectural creation (such as a building or structure) designed or realized by another entity.
  • E. depictionType
    Indicates the specific manner or style in which something is visually represented or depicted.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a3dc2208190a6fea93b60b8daca completed March 31, 2026, 3:06 a.m.
PD Predicate disambiguation batch_69cae92d94448190b4425bbfb64c658c completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:02 p.m.