Triple
T32195867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chronic lymphocytic leukemia |
E822402
|
entity |
| Predicate | commonLaboratoryFinding |
P191310
|
FINISHED |
| Object | absolute lymphocytosis |
—
|
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: absolute lymphocytosis | Statement: [chronic lymphocytic leukemia, commonLaboratoryFinding, absolute lymphocytosis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonLaboratoryFinding Context triple: [chronic lymphocytic leukemia, commonLaboratoryFinding, absolute lymphocytosis]
-
A.
laboratoryFinding
chosen
Indicates that a specific result, observation, or measurement was obtained from a laboratory test or analysis.
-
B.
clinicalSignOf
Indicates that one clinical sign is evidence or manifestation of a particular disease, condition, or underlying medical state.
-
C.
laboratoryAnalysis
Indicates that a sample or material is being examined, tested, or measured using scientific procedures in a laboratory setting.
-
D.
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.
-
E.
clinicalCondition
Indicates that one entity has, exhibits, or is associated with a particular medical or health-related condition described by the other 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
Created at: May 1, 2026, 12:35 a.m.