Triple

T34933592
Position Surface form Disambiguated ID Type / Status
Subject The Monument (Christopher Wren column) E1007506 entity
Predicate usedAsScientificInstrument P13781 FINISHED
Object yes 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: yes | Statement: [The Monument (Christopher Wren column), usedAsScientificInstrument, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedAsScientificInstrument
Context triple: [The Monument (Christopher Wren column), usedAsScientificInstrument, yes]
  • A. scientificInstruments chosen
    Indicates that one entity is a scientific instrument used by, associated with, or relevant to another entity in the context of scientific measurement or research.
  • B. isScientific
    Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
  • C. usedAsLaboratoryFor
    Indicates that one entity functions as a laboratory or experimental facility for another entity’s activities, research, or testing.
  • D. usesScientificInputFrom
    Indicates that one entity bases its decisions, actions, or processes on scientific data, analysis, or expertise provided by another entity.
  • E. firstScientificUse
    Indicates that an entity represents the earliest known scientific use or application of another entity (such as a concept, method, or technology).
  • 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_69f76dc513fc819084a1ff52abbfa5bc completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fe744faca881908e11e90e0a35653f completed May 8, 2026, 11:39 p.m.
PD Predicate disambiguation batch_69fe734cbf7081909a552c5cf3b5ea59 completed May 8, 2026, 11:35 p.m.
Created at: May 3, 2026, 4 p.m.