Triple

T12024377
Position Surface form Disambiguated ID Type / Status
Subject Commercial style E286236 entity
Predicate glazingPattern P102838 FINISHED
Object large uninterrupted window areas 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: large uninterrupted window areas | Statement: [Commercial style, glazingPattern, large uninterrupted window areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: glazingPattern
Context triple: [Commercial style, glazingPattern, large uninterrupted window areas]
  • A. glazingType
    Indicates the type or configuration of glazing (such as single, double, or special coatings) used in or applied to an element.
  • B. glaze
    Indicates that an agent coats or covers a surface of an entity with a smooth, often shiny or protective, layer or substance.
  • C. hasPavementPattern
    Indicates that an entity possesses or is characterized by a specific pattern or design in its pavement surface.
  • D. airingPattern
    Indicates the recurring schedule or pattern according to which something (such as a program or content) is broadcast or made available.
  • E. maskPattern
    Indicates a relationship where one entity serves as a masking template or pattern that determines which parts or aspects of another entity are revealed, hidden, or transformed.
  • F. None of above. chosen

Provenance (4 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69d902b6ebbc8190b13c44a61c6f81b9 completed April 10, 2026, 2:01 p.m.
PDg Predicate description generation batch_69d91006e14081909838412df082f794 completed April 10, 2026, 2:58 p.m.
Created at: April 8, 2026, 9:47 p.m.