Triple

T20147435
Position Surface form Disambiguated ID Type / Status
Subject S II E491339 entity
Predicate usedInImagingFilter P88263 FINISHED
Object S II narrowband filter 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: S II narrowband filter | Statement: [S II, usedInImagingFilter, S II narrowband filter]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInImagingFilter
Context triple: [S II, usedInImagingFilter, S II narrowband filter]
  • A. imagedIn
    Indicates that one entity appears within or is depicted in an image associated with another entity.
  • B. usesFilter chosen
    Indicates that one entity applies or employs a filter (such as a criterion, condition, or processing mechanism) to another entity or set of data.
  • C. usesImagery
    Indicates that one entity employs descriptive or figurative language to create sensory or vivid mental images in relation to another entity or concept.
  • D. hasImagingFinding
    Indicates that an entity (typically a patient, case, or anatomical region) is associated with a specific observation or result identified through an imaging procedure (e.g., X-ray, CT, MRI).
  • E. imagedBy
    Indicates that something is captured, recorded, or represented in an image created by a particular imaging device, method, or agent.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679f43bc8190a1cd4768b3e87505 completed April 20, 2026, 5:51 p.m.
PD Predicate disambiguation batch_69e54cfd924881909b55f3e4d3e7e070 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 11:33 p.m.