Triple
T2371089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Activase |
E46090
|
entity |
| Predicate | requiresImagingBeforeUse |
P34945
|
FINISHED |
| Object | brain imaging to exclude hemorrhage |
—
|
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: brain imaging to exclude hemorrhage | Statement: [Activase, requiresImagingBeforeUse, brain imaging to exclude hemorrhage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresImagingBeforeUse Context triple: [Activase, requiresImagingBeforeUse, brain imaging to exclude hemorrhage]
-
A.
imagedIn
Indicates that one entity appears within or is depicted in an image associated with another entity.
-
B.
hasAIPhotoFeatures
Indicates that an entity provides or supports photo-related features powered by artificial intelligence.
-
C.
requiresMeasures
chosen
Indicates that one entity necessitates the implementation or presence of specific measures, actions, or safeguards in relation to another entity or situation.
-
D.
usesImageryOf
Indicates that one entity employs or incorporates visual or sensory imagery that depicts, references, or symbolically represents another entity.
-
E.
requiresDevice
Indicates that performing the specified action or relationship is contingent on the presence or use of a particular device.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc771302481908540e31abb5aeeba |
completed | March 7, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69abc59b88348190a2d6c08f69974117 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:56 p.m.