Triple
T30087161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | spinothalamic tract |
E764629
|
entity |
| Predicate | neuronOrder |
P168818
|
FINISHED |
| Object | second-order neurons of pain pathway |
—
|
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: second-order neurons of pain pathway | Statement: [spinothalamic tract, neuronOrder, second-order neurons of pain pathway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neuronOrder Context triple: [spinothalamic tract, neuronOrder, second-order neurons of pain pathway]
-
A.
neuronClass
Indicates the classification relationship that assigns a neuron to a specific neuron type or class based on its properties or role.
-
B.
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.
-
C.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
D.
confersOrder
Indicates that one entity formally bestows or grants an order, rank, or honorific distinction upon another entity.
-
E.
normalOrder
Indicates that the entities are arranged or occur in their standard, default, or expected sequence.
- 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_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 29, 2026, 7:04 p.m.