Triple
T9128617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dickinsonia |
E219025
|
entity |
| Predicate | biomarkerEvidence |
P3650
|
FINISHED |
| Object | cholesterol biomarkers consistent with animal affinity |
—
|
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: cholesterol biomarkers consistent with animal affinity | Statement: [Dickinsonia, biomarkerEvidence, cholesterol biomarkers consistent with animal affinity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biomarkerEvidence Context triple: [Dickinsonia, biomarkerEvidence, cholesterol biomarkers consistent with animal affinity]
-
A.
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.
-
B.
providesEvidenceFor
chosen
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
-
C.
hasTargetDisease
Indicates that an entity (such as a treatment, study, or intervention) is directed toward, intended to affect, or primarily concerned with a specified disease.
-
D.
hasPrognosticFactor
Indicates that something serves as a factor influencing or predicting the likely outcome or course of a condition, event, or situation.
-
E.
hasPreclinicalFeature
Indicates that an entity exhibits a characteristic, sign, or attribute that is present before the full clinical manifestation of a condition or disease.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8cc85b081908ee80db0e3b7df15 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc6601d77881908299d58db6e64937 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:18 p.m.