Triple
T18021298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parasympathetic nervous system |
E431121
|
entity |
| Predicate | preganglionicFiberLength |
P75639
|
FINISHED |
| Object | long preganglionic fibers |
—
|
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: long preganglionic fibers | Statement: [Parasympathetic nervous system, preganglionicFiberLength, long preganglionic fibers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preganglionicFiberLength Context triple: [Parasympathetic nervous system, preganglionicFiberLength, long preganglionic fibers]
-
A.
totalFiberStrands
Indicates the total number of fiber strands associated with or contained in a given entity or connection.
-
B.
needlesPerFascicle
Indicates the number of individual needles contained within a single fascicle (bundle) of needles.
-
C.
frontLength
Indicates the length measurement of the front side or edge of an object relative to its overall dimensions.
-
D.
armLength
Indicates that one entity’s arm has a specified length or that there is a measured distance corresponding to the length of an arm.
-
E.
dimensionOfLength
chosen
Indicates that something represents or specifies a measurement along a single spatial extent (a length dimension).
- 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.