Triple
T30520989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | conduction aphasia |
E776691
|
entity |
| Predicate | impairsFunction |
P26088
|
FINISHED |
| Object | verbal communication |
—
|
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: verbal communication | Statement: [conduction aphasia, impairsFunction, verbal communication]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impairsFunction Context triple: [conduction aphasia, impairsFunction, verbal communication]
-
A.
canImpair
Indicates that one entity has the potential or ability to weaken, damage, or reduce the normal function, quality, or effectiveness of another entity.
-
B.
lossOfFunctionLeadsTo
Indicates that when the function of one entity is reduced or eliminated, it causes or results in a specific effect or outcome in another entity or system.
-
C.
affectedFunction
chosen
Indicates that one entity has an impact on, alters, or impairs the operation or behavior of another entity’s function.
-
D.
hasSenseImpairment
Indicates that an entity experiences a reduction or loss in one or more sensory abilities (such as sight, hearing, or touch).
-
E.
lossOfFunctionPhenotype
Indicates that when a gene or gene product loses its normal function, a specific observable phenotype or trait results.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68809fa4c8190b7477043dd360dc2 |
completed | May 2, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:17 p.m.