Triple
T27135307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | platelet-derived growth factor |
E681666
|
entity |
| Predicate | targetCellType |
P94935
|
FINISHED |
| Object | fibroblasts |
—
|
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: fibroblasts | Statement: [platelet-derived growth factor, targetCellType, fibroblasts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetCellType Context triple: [platelet-derived growth factor, targetCellType, fibroblasts]
-
A.
cellType
Indicates the classification relationship that specifies what type of cell an entity is or is associated with.
-
B.
cellTypeUsed
Indicates that a particular type of cell is employed or utilized in relation to another entity or process.
-
C.
affectsCellType
chosen
Indicates that one entity produces an effect or change on a specific type of cell.
-
D.
expressedInCellType
Indicates that something (such as a gene, protein, or molecule) is expressed or present in a specified cell type.
-
E.
targetCellEntryReceptor
Indicates that a receptor mediates or enables the entry of a target cell (or agent) into another cell.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 27, 2026, 9:06 a.m.