Triple

T38559974
Position Surface form Disambiguated ID Type / Status
Subject Lawsonella E928049 entity
Predicate diagnosticChallenge P133492 FINISHED
Object often misidentified in clinical microbiology laboratories 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: often misidentified in clinical microbiology laboratories | Statement: [Lawsonella, diagnosticChallenge, often misidentified in clinical microbiology laboratories]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: diagnosticChallenge
Context triple: [Lawsonella, diagnosticChallenge, often misidentified in clinical microbiology laboratories]
  • A. diagnosisIsDifficult chosen
    Indicates that determining an accurate diagnosis for the condition or case is challenging or hard to achieve.
  • B. diagnoses
    Indicates that a medical professional identifies and determines the nature or cause of a condition, disease, or problem in a patient.
  • C. diagnosisMethod
    Indicates the method, procedure, or technique used to establish or confirm a diagnosis for a condition or case.
  • D. diagnosticFor
    Indicates that one entity (such as a test, sign, or symptom) is used to identify, confirm, or provide evidence for the presence of another entity (typically a condition, disease, or problem).
  • E. hasDiagnosticFinding
    Indicates that a subject (e.g., a patient, test, or examination) is associated with a specific diagnostic observation, result, or abnormality identified during medical evaluation.
  • 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_69f76eb8d1808190a588af29d8b266d6 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdaa36f90819093f8661969990c7d completed May 7, 2026, 6:32 p.m.
PD Predicate disambiguation batch_69fcd8fefc588190b063d7ea1ec87b07 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:32 p.m.