Triple

T32400524
Position Surface form Disambiguated ID Type / Status
Subject YOSEMITE E827934 entity
Predicate indicationCategory P23162 FINISHED
Object diabetic eye disease 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: diabetic eye disease | Statement: [YOSEMITE, indicationCategory, diabetic eye disease]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: indicationCategory
Context triple: [YOSEMITE, indicationCategory, diabetic eye disease]
  • A. treatmentIndication
    Indicates that a treatment is intended to address, alleviate, or prevent a particular condition, symptom, or medical indication.
  • B. indicationTestedIn
    Indicates that a particular medical indication (disease or condition) has been evaluated or tested in a specified clinical study or experimental context.
  • C. indicationOfProduct
    Indicates that something serves as evidence, a sign, or a marker pointing to the existence, presence, or relevance of a particular product.
  • D. indicatedFor chosen
    Indicates...that one entity (typically a treatment, procedure, or product) is recommended or appropriate for use in relation to another entity (such as a condition, symptom, or patient group).
  • E. classificationUsedBy
    Indicates that a particular classification system or scheme is employed or applied by a given entity.
  • 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_69f34919342c8190a4c3bf35a90d4e58 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c8159edc8190b1c87015e0c820e8 completed May 3, 2026, 3:59 a.m.
PD Predicate disambiguation batch_69f6c3f42fbc8190a06eb1044c9e6094 completed May 3, 2026, 3:41 a.m.
Created at: May 1, 2026, 12:52 a.m.