Triple
T18021255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autonomic nervous system |
E431120
|
entity |
| Predicate | targetTissue |
P14750
|
FINISHED |
| Object | smooth muscle |
—
|
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: smooth muscle | Statement: [Autonomic nervous system, targetTissue, smooth muscle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetTissue Context triple: [Autonomic nervous system, targetTissue, smooth muscle]
-
A.
tissueExpression
Indicates the association between a biological entity (such as a gene or protein) and the specific tissue(s) in which it is expressed.
-
B.
targetOrganism
Indicates that an action, process, or effect is directed toward or intended to impact a particular organism.
-
C.
hasTissue
chosen
Indicates that one entity possesses, contains, or is associated with a specific tissue of another entity.
-
D.
targetsGene
Indicates that one entity is directed toward, acts upon, or is intended to affect a specific gene.
-
E.
regulatoryTarget
Indicates that one entity is subject to control, influence, or governance by another entity under a regulatory or rule-based framework.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c299c48190b0cceecf77cb6de9 |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:24 a.m.