Triple

T30087011
Position Surface form Disambiguated ID Type / Status
Subject medial geniculate nucleus E764626 entity
Predicate receivesInhibitoryInput P173410 FINISHED
Object GABAergic neurons 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: GABAergic neurons | Statement: [medial geniculate nucleus, receivesInhibitoryInput, GABAergic neurons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receivesInhibitoryInput
Context triple: [medial geniculate nucleus, receivesInhibitoryInput, GABAergic neurons]
  • A. receptorInput
    Indicates that a receptor receives or is provided with an input signal or stimulus from another entity.
  • B. inhibits
    Indicates that one entity prevents, restrains, or reduces the activity, effect, or occurrence of another entity.
  • C. synapsesAt
    Indicates that one neural element forms a synaptic connection at, or onto, another specified location or structure.
  • D. inhibitionUse
    Indicates that one entity uses or applies an inhibitory effect to reduce, block, or suppress the activity or function of another entity.
  • E. receptorSystem
    Indicates that one entity functions as a receptor system through which another entity receives, processes, or responds to signals or stimuli.
  • 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_69f6b56ed31481908c3e5d749e46bad9 completed May 3, 2026, 2:39 a.m.
PD Predicate disambiguation batch_69f6b3a5fd8481909433e923c5e24e55 completed May 3, 2026, 2:32 a.m.
PDg Predicate description generation batch_69f6b49339048190b617a6749f648825 completed May 3, 2026, 2:36 a.m.
Created at: April 29, 2026, 7:04 p.m.