Triple

T1909511
Position Surface form Disambiguated ID Type / Status
Subject Broca's area E38076 entity
Predicate associatedWithFunction P23285 FINISHED
Object speech production 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: speech production | Statement: [Broca's area, associatedWithFunction, speech production]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithFunction
Context triple: [Broca's area, associatedWithFunction, speech production]
  • A. associatedFunction chosen
    Indicates that one entity has a related or linked function that is conceptually or operationally connected to it.
  • B. associatedWithClass
    Indicates that an entity has a connection or linkage to a particular class or category, without specifying the exact nature of that relationship.
  • C. associatedWithFormat
    Indicates a relationship where something is linked or connected to a particular format or formatting standard.
  • D. associatedWithCondition
    Indicates that an entity has a relevant connection or linkage to a particular condition (such as a disease, state, or circumstance), without specifying the nature or strength of that connection.
  • E. assignedFunction
    Indicates that a specific role, duty, or function has been formally allocated to an entity.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb34d94fc8190a5bf1e582c77c725 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abafeba3d88190afcce67483d8625b completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.