Triple
T33205141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | erythema nodosum |
E849999
|
entity |
| Predicate | biopsyShows |
P22707
|
FINISHED |
| Object | septal panniculitis without vasculitis |
—
|
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: septal panniculitis without vasculitis | Statement: [erythema nodosum, biopsyShows, septal panniculitis without vasculitis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biopsyShows Context triple: [erythema nodosum, biopsyShows, septal panniculitis without vasculitis]
-
A.
pathologyFeature
chosen
Indicates that one entity is a pathological characteristic, sign, or abnormal finding associated with another entity in a medical or biological context.
-
B.
hasMalignantPotential
Indicates that the subject has the capacity or tendency to become malignant or develop harmful, cancerous characteristics.
-
C.
isNonNeoplastic
Indicates that the condition, lesion, or tissue change does not involve neoplastic (tumorous or cancerous) growth.
-
D.
usedAsBiomarkerFor
Indicates that one entity serves as a biomarker for another entity, typically signaling the presence, progression, or risk of a specific condition or biological state.
-
E.
diagnosticBiomarker
Indicates that one entity serves as a measurable biological indicator used to detect, confirm, or help diagnose a condition or disease in another 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:30 a.m.