Triple
T13316301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolly the sheep |
E317196
|
entity |
| Predicate | cellTypeUsed |
P109481
|
FINISHED |
| Object | adult somatic cell |
—
|
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: adult somatic cell | Statement: [Dolly the sheep, cellTypeUsed, adult somatic cell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cellTypeUsed Context triple: [Dolly the sheep, cellTypeUsed, adult somatic cell]
-
A.
cellType
Indicates the classification relationship that specifies what type of cell an entity is or is associated with.
-
B.
affectsCellType
Indicates that one entity produces an effect or change on a specific type of cell.
-
C.
expressedInCellType
Indicates that something (such as a gene, protein, or molecule) is expressed or present in a specified cell type.
-
D.
cellInteractionType
Indicates the specific kind of interaction or relationship occurring between cells, such as communication, adhesion, or signaling.
-
E.
cellStates
Indicates the various conditions or phases that a cell can be in at a given time.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:29 p.m.