Triple
T37450026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proteus |
E930648
|
entity |
| Predicate | clinicalSampleType |
P66797
|
FINISHED |
| Object | urine |
—
|
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: urine | Statement: [Proteus, clinicalSampleType, urine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clinicalSampleType Context triple: [Proteus, clinicalSampleType, urine]
-
A.
clinicalSpecimenSource
chosen
Indicates the origin or source from which a clinical specimen was obtained for analysis or testing.
-
B.
sampleType
Indicates the classification or category of a sample in relation to a broader set of samples or experimental conditions.
-
C.
laboratoryTestType
Indicates the specific kind or category of laboratory test that is performed or ordered in a medical or experimental context.
-
D.
laboratoryType
Indicates the specific category or kind of laboratory associated with an entity (e.g., clinical, research, diagnostic).
-
E.
sampleCollected
Indicates that a sample has been obtained or gathered from a source as part of a collection process.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.