Triple

T38561124
Position Surface form Disambiguated ID Type / Status
Subject tularemia E928077 entity
Predicate hasClinicalForm P66791 FINISHED
Object ulceroglandular tularemia 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: ulceroglandular tularemia | Statement: [tularemia, hasClinicalForm, ulceroglandular tularemia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClinicalForm
Context triple: [tularemia, hasClinicalForm, ulceroglandular tularemia]
  • A. clinicalForm chosen
    Indicates the specific clinical manifestation or presentation type associated with a medical condition or case.
  • B. hasClinicalAssessment
    Indicates that a subject is associated with, or has undergone, a specific clinical assessment or evaluation.
  • C. hasClinicalBase
    Indicates that one entity serves as the clinical foundation, setting, or primary site upon which another entity (such as a study, program, or service) is based or conducted.
  • D. hasPracticeForm
    Indicates that an entity is associated with, or takes place in, a particular form or mode of practice.
  • E. hasClinicalService
    Indicates that an entity provides, offers, or is associated with a specific clinical service.
  • 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_69fe2f078c24819082ba396b56f02808 completed May 8, 2026, 6:44 p.m.
PD Predicate disambiguation batch_69fe228fe1988190baf3bb34897f3dbe completed May 8, 2026, 5:51 p.m.
Created at: May 3, 2026, 4:32 p.m.