Triple
T37823663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | corpuscles of Pacini |
E942991
|
entity |
| Predicate | hasReceptiveField |
—
|
GENERATED |
| Object | large |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReceptiveField Context triple: [corpuscles of Pacini, hasReceptiveField, large]
-
A.
receptiveField
chosen
Indicates the region or set of inputs in the source space (e.g., sensory surface or input layer) to which a given unit, neuron, or detector is responsive.
-
B.
hasPerceivingFunction
Indicates that an entity possesses a function or capability specifically for perceiving or sensing other entities, events, or stimuli.
-
C.
hasObservationArea
Indicates that an entity possesses or includes a designated area from which observations or monitoring activities are conducted.
-
D.
hasFieldOfView
Indicates that one entity possesses a visual coverage area within which it can perceive or detect other entities or regions.
-
E.
hasNeuralNetwork
Indicates that an entity possesses, incorporates, or is equipped with a neural network.
- F. None of above.
Provenance (1 batch)
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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:19 p.m.