Triple
T36594297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SeeDB |
E902753
|
entity |
| Predicate | samplePreparation |
P47540
|
FINISHED |
| Object | fixed tissue |
—
|
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: fixed tissue | Statement: [SeeDB, samplePreparation, fixed tissue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: samplePreparation Context triple: [SeeDB, samplePreparation, fixed tissue]
-
A.
preparationBy
Indicates that one entity is created, assembled, or made ready through the actions or processes performed by another entity.
-
B.
preparationBegan
Indicates that the initial actions or processes required for something to be carried out or occur have started.
-
C.
preparationInvolved
chosen
Indicates that a particular preparation, process, or setup is involved in enabling or carrying out an action, event, or relationship.
-
D.
preparationForm
Indicates the specific way a substance or product has been prepared or formulated for use (e.g., tablet, solution, cream).
-
E.
typicalPreparation
Indicates the usual or standard way in which something is prepared or made.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.