Triple
T36571588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xpert test cartridges |
E902134
|
entity |
| Predicate | workflowStep |
P132547
|
FINISHED |
| Object | sample lysis |
—
|
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: sample lysis | Statement: [Xpert test cartridges, workflowStep, sample lysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workflowStep Context triple: [Xpert test cartridges, workflowStep, sample lysis]
-
A.
lifecycleStep
Indicates the specific phase or stage an entity is currently in within its overall lifecycle or progression.
-
B.
stepInRoutine
Indicates that an action or event occurs as an ordered step within a larger, structured routine or sequence of activities.
-
C.
stepOfModel
chosen
Indicates that something is a specific step or stage within a larger model or process.
-
D.
stepQuality
Indicates the degree or standard of how well a particular step or stage in a process is performed or executed.
-
E.
stepType
Indicates the specific kind or category of step an entity represents within a process or sequence.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.