Triple
T18021299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parasympathetic nervous system |
E431121
|
entity |
| Predicate | postganglionicFiberLength |
P129479
|
FINISHED |
| Object | short postganglionic 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: short postganglionic fibers | Statement: [Parasympathetic nervous system, postganglionicFiberLength, short postganglionic fibers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postganglionicFiberLength Context triple: [Parasympathetic nervous system, postganglionicFiberLength, short postganglionic fibers]
-
A.
totalFiberStrands
Indicates the total number of fiber strands associated with or contained in a given entity or connection.
-
B.
tailLengthObserved
Indicates that an observation has been made recording the length of an entity’s tail.
-
C.
needlesPerFascicle
Indicates the number of individual needles contained within a single fascicle (bundle) of needles.
-
D.
frontLength
Indicates the length measurement of the front side or edge of an object relative to its overall dimensions.
-
E.
archLength
Indicates the measured length of an arch-shaped structure or path between two defined points.
- 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_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. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:24 a.m.