Triple
T5931316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sporothrix |
E131943
|
entity |
| Predicate | clinicalForm |
P66791
|
FINISHED |
| Object | lymphocutaneous sporotrichosis |
—
|
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: lymphocutaneous sporotrichosis | Statement: [Sporothrix, clinicalForm, lymphocutaneous sporotrichosis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clinicalForm Context triple: [Sporothrix, clinicalForm, lymphocutaneous sporotrichosis]
-
A.
clinicalSignOf
Indicates that one clinical sign is evidence or manifestation of a particular disease, condition, or underlying medical state.
-
B.
electronicHealthRecordSystem
Indicates a relationship where an entity functions as or is associated with an electronic system used to create, store, manage, or access patients’ health records.
-
C.
clinicalRole
Indicates the specific function, responsibility, or position an entity holds within a clinical or healthcare context.
-
D.
implementationForm
Indicates the specific manner, format, or method by which something is implemented or realized in practice.
-
E.
practiceElement
Indicates that one entity is a component, step, or sub-activity within a broader practice or procedure involving another entity.
- F. None of above. chosen
Provenance (4 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03c8d579081909d7b97fc9014b5d7 |
completed | March 22, 2026, 7:01 p.m. |
Created at: March 22, 2026, 4 p.m.