Triple
T9524704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | substantia nigra |
E229730
|
entity |
| Predicate | neurotransmitterProduced |
P490
|
FINISHED |
| Object | dopamine |
—
|
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: dopamine | Statement: [substantia nigra, neurotransmitterProduced, dopamine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neurotransmitterProduced Context triple: [substantia nigra, neurotransmitterProduced, dopamine]
-
A.
neurotransmitter
Indicates that one entity functions as a chemical messenger released by a neuron to transmit signals to another cell across a synapse.
-
B.
chemicalTypeProduced
Indicates that a process, reaction, or entity results in the production of a specific type or class of chemical.
-
C.
produces
chosen
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
D.
drugProduced
Indicates that a particular drug is manufactured or generated by a specified producer or source.
-
E.
increasesProductionOf
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9899f99481908d374528716027f8 |
completed | April 1, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cca56a3d088190bdc16670678fb6c6 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:59 p.m.