Triple
T18021238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autonomic nervous system |
E431120
|
entity |
| Predicate | efferentPathwayIncludes |
P64492
|
FINISHED |
| Object | preganglionic neuron |
—
|
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: preganglionic neuron | Statement: [Autonomic nervous system, efferentPathwayIncludes, preganglionic neuron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: efferentPathwayIncludes Context triple: [Autonomic nervous system, efferentPathwayIncludes, preganglionic neuron]
-
A.
afferentFrom
Indicates that something (typically a signal, input, or connection) is received from or directed inward from another source or structure.
-
B.
hasPathway
Indicates that there exists a route, channel, or sequence of steps through which one entity leads, connects, or gives access to another.
-
C.
targetsPathophysiology
Indicates that an intervention, agent, or process is specifically directed at modifying or influencing a particular disease mechanism or pathological process.
-
D.
transferPathwayTo
Indicates the act of moving or reassigning a pathway (such as a process, route, or channel) from one entity to another.
-
E.
signalPath
chosen
Indicates that there is a route or connection along which a signal can travel from one entity to another.
- 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.