Triple

T5223101
Position Surface form Disambiguated ID Type / Status
Subject American Society of Landscape Architects Medal E117918 entity
Predicate professionalSector P62124 FINISHED
Object architecture and design 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: architecture and design | Statement: [American Society of Landscape Architects Medal, professionalSector, architecture and design]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: professionalSector
Context triple: [American Society of Landscape Architects Medal, professionalSector, architecture and design]
  • A. professional
    Indicates that one entity has a formal, occupation-related role, service, or expertise in relation to another entity.
  • B. professionalScope
    Indicates the range of activities, responsibilities, or roles that fall within a person’s or organization’s recognized professional duties or expertise.
  • C. professionalSince
    Indicates the point in time when an entity began its professional activity or career in a given role or field.
  • D. professionalHead
    Indicates that one entity serves as the primary professional leader or chief authority over another entity within an organizational or occupational context.
  • E. businessCareer
    Indicates a relationship where an entity’s professional life, roles, or progression is specifically within the field of business or commerce.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7abba82881908c030ba55146b8ea completed March 20, 2026, 4:50 p.m.
PD Predicate disambiguation batch_69bd77bd2a448190a9ae5afd2585a7b9 completed March 20, 2026, 4:37 p.m.
PDg Predicate description generation batch_69bd78a89b608190b259d3d8658f8f7c completed March 20, 2026, 4:41 p.m.
Created at: March 20, 2026, 1:48 p.m.