Triple
T30086779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betz cells |
E764621
|
entity |
| Predicate | neuronClass |
P168429
|
FINISHED |
| Object | excitatory 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: excitatory neuron | Statement: [Betz cells, neuronClass, excitatory neuron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neuronClass Context triple: [Betz cells, neuronClass, excitatory neuron]
-
A.
neuralBasis
Indicates that one entity serves as the neural or brain-based mechanism underlying, enabling, or explaining the function, behavior, or property of another entity.
-
B.
hasNeuralNetwork
Indicates that an entity possesses, incorporates, or is equipped with a neural network.
-
C.
nodeClass
Indicates that an entity belongs to, or is categorized as, a particular class or type of node within a graph or network structure.
-
D.
neuralInterface
Indicates a direct connection or communication link established between a neural system (biological or artificial) and another device or system for transmitting signals or information.
-
E.
aimOfClassification
Indicates that one entity represents the purpose, goal, or intended outcome of a particular act or system of classification applied to another entity.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d6d35588190bf7b5ea2889ad6b8 |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 7:04 p.m.