Triple

T20970655
Position Surface form Disambiguated ID Type / Status
Subject Queen Anne High School building E516482 entity
Predicate adaptiveReuse P89097 FINISHED
Object conversion from school to housing 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: conversion from school to housing | Statement: [Queen Anne High School building, adaptiveReuse, conversion from school to housing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adaptiveReuse
Context triple: [Queen Anne High School building, adaptiveReuse, conversion from school to housing]
  • A. infrastructureReuse
    Indicates that existing infrastructure is being used again for a new or continued purpose instead of building or deploying entirely new infrastructure.
  • B. reusability
    Indicates that an entity can be used multiple times or in multiple contexts without significant modification or degradation of function.
  • C. reusabilityImpact
    Indicates how the ability to reuse something (such as a component, resource, or design) affects outcomes, performance, or other relevant factors in a given context.
  • D. reusedIn
    Indicates that something previously used in one context or instance is used again in another context or instance.
  • E. buildingReuse chosen
    Indicates that an existing building is being repurposed or adapted for a new use rather than being newly constructed or demolished.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba027708190a49e95b0031d980d completed April 21, 2026, 4:22 a.m.
PD Predicate disambiguation batch_69e5dbe6976081908abd4e9c8734bae9 completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 1:43 p.m.