Triple

T10275393
Position Surface form Disambiguated ID Type / Status
Subject Nunnery Quadrangle E240950 entity
Predicate originalFunctionUnknown P4098 FINISHED
Object true 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: true | Statement: [Nunnery Quadrangle, originalFunctionUnknown, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalFunctionUnknown
Context triple: [Nunnery Quadrangle, originalFunctionUnknown, true]
  • A. originalFunction chosen
    Indicates that one entity serves as the initial or primary function from which another function or behavior is derived or defined.
  • B. formerFunction
    Indicates that an entity previously held a specific role, position, or function but no longer does so.
  • C. publicFunction
    Indicates that a function or method is accessible from outside its defining scope, module, or class (i.e., it has public visibility).
  • D. intendedFunction
    Indicates that something is designed or purposed to perform a particular role, use, or function.
  • E. traditionalFunction
    Indicates that an entity serves a customary or historically established role or purpose within a cultural or social context.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d28b6cd4819084a7a5c1893b5ad8 completed April 7, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69d4d1ef6e6c81908a8ee52e4d28127b completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:37 a.m.