Triple

T32861758

Position	Surface form	Disambiguated ID	Type / Status
Subject	default mode network of the brain	`E840534`	entity
Predicate	antiCorrelatedWith	`P175084`	FINISHED
Object	dorsal attention network The dorsal attention network is a large-scale brain system involved in top-down, goal-directed attention and visuospatial processing, typically showing activity patterns opposite to the default mode network.	`E2024771`	NE FINISHED

How this triple was built (3 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: dorsal attention network | Statement: [default mode network of the brain, antiCorrelatedWith, dorsal attention network]

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: dorsal attention network
Triple: [default mode network of the brain, antiCorrelatedWith, dorsal attention network]

Generated description

The dorsal attention network is a large-scale brain system involved in top-down, goal-directed attention and visuospatial processing, typically showing activity patterns opposite to the default mode network.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: antiCorrelatedWith
Context triple: [default mode network of the brain, antiCorrelatedWith, dorsal attention network]

A. correlatedAt
Indicates that two or more entities are statistically related or vary together at a specified time, time range, or temporal context.
B. counterpartRelation
Indicates a reciprocal relationship where two entities serve as corresponding or equivalent counterparts to each other in a given context.
C. hasContrastingRelationshipWith
Indicates a relationship in which two entities are opposed, divergent, or markedly different in qualities, roles, or effects.
D. airedTogetherWith
Indicates that two media items (such as episodes or programs) were broadcast during the same time period or as part of the same airing schedule.
E. consistentWith
Indicates that one entity does not contradict and is compatible or in agreement with another entity, condition, or set of constraints.
F. None of above. chosen

Provenance (7 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_69f34942465c819099b3fb47f9044f58`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69f6ceb729fc81908ef924d90de729f1`	completed	May 3, 2026, 4:27 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a34bd112ccc8190bd537f1fa1f11eab`	completed	June 19, 2026, 3:52 a.m.
NEDg	Description generation	`batch_6a34bd7697ec8190804bc4567d08cdc8`	completed	June 19, 2026, 3:54 a.m.
NED2	Entity disambiguation (via description)	`batch_6a34bdf2f0e481909354fcb4eaec747a`	completed	June 19, 2026, 3:56 a.m.
PD	Predicate disambiguation	`batch_69f6cc177b288190904f3f23cb856d8b`	completed	May 3, 2026, 4:16 a.m.
PDg	Predicate description generation	`batch_69f6cdf2745481908464aa322c30d5b0`	completed	May 3, 2026, 4:24 a.m.

Created at: May 1, 2026, 1:17 a.m.