Triple
T20147437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S II |
E491339
|
entity |
| Predicate | diagnosticFor |
P138851
|
FINISHED |
| Object | electron density in nebulae |
—
|
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: electron density in nebulae | Statement: [S II, diagnosticFor, electron density in nebulae]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diagnosticFor Context triple: [S II, diagnosticFor, electron density in nebulae]
-
A.
diagnosticsStyle
Indicates the manner, method, or approach used to perform or present diagnostics in a given context.
-
B.
diagnosisMethod
Indicates the method, procedure, or technique used to establish or confirm a diagnosis for a condition or case.
-
C.
diagnoses
Indicates that a medical professional identifies and determines the nature or cause of a condition, disease, or problem in a patient.
-
D.
diagnosticCriteriaFrom
Indicates that the diagnostic criteria used to identify or classify a condition are derived from or based on a specified source.
-
E.
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.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679f43bc8190a1cd4768b3e87505 |
completed | April 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69e54cfd924881909b55f3e4d3e7e070 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc2bc3c819088c33cd263303433 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 11:33 p.m.