Triple

T30178956
Position Surface form Disambiguated ID Type / Status
Subject Brodmann area 42 E767145 entity
Predicate mappedIn P11519 FINISHED
Object Brodmann cortical map
The Brodmann cortical map is a systematic partitioning of the cerebral cortex into numbered regions based on their cytoarchitecture, widely used to relate brain structure to function.
 E1902753 NE 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: Brodmann cortical map | Statement: [Brodmann area 42, mappedIn, Brodmann cortical map]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brodmann cortical map
Triple: [Brodmann area 42, mappedIn, Brodmann cortical map]
Generated description
The Brodmann cortical map is a systematic partitioning of the cerebral cortex into numbered regions based on their cytoarchitecture, widely used to relate brain structure to function.

Provenance (5 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_69f2247ba20c81909d34f2bfed706e1e completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67f402b9c8190b01ed0fc50b7f5e8 completed May 2, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27586677c48190869c43655cf24a32 completed June 9, 2026, 12:03 a.m.
NEDg Description generation batch_6a275a4311f08190b067b8c94e48d019 completed June 9, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_6a275aeeed3c8190ba20d38ec0af1c74 completed June 9, 2026, 12:14 a.m.
Created at: April 29, 2026, 7:26 p.m.