Triple
T5689161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARIA-H |
E125385
|
entity |
| Predicate | hasLateralityPattern |
P65958
|
FINISHED |
| Object | often multifocal and bilateral |
—
|
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: often multifocal and bilateral | Statement: [ARIA-H, hasLateralityPattern, often multifocal and bilateral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLateralityPattern Context triple: [ARIA-H, hasLateralityPattern, often multifocal and bilateral]
-
A.
hasLateralStructure
Indicates that one entity possesses or exhibits a structural feature oriented to or located on its side(s).
-
B.
inferredLateralization
Indicates that the side or hemispheric orientation (e.g., left, right, bilateral) of an entity has been deduced indirectly from available information rather than observed directly.
-
C.
hemisphereDominance
Indicates which brain hemisphere (left or right) is functionally dominant for a given cognitive or neural process in an entity.
-
D.
numberOfLaterals
Indicates the count of lateral branches or side elements associated with a given entity or structure.
-
E.
hasBearingPattern
Indicates a relationship where an object or system exhibits or is characterized by a specific bearing arrangement or configuration pattern.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028fec2bc819083f5dca6a8d9d435 |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:44 p.m.