Triple
T36599803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B1 antigen |
E902886
|
entity |
| Predicate | foundOnCellType |
P95984
|
FINISHED |
| Object | B lymphocyte |
—
|
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: B lymphocyte | Statement: [B1 antigen, foundOnCellType, B lymphocyte]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundOnCellType Context triple: [B1 antigen, foundOnCellType, B lymphocyte]
-
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
Indicates that one entity produces an effect or change on a specific type of cell.
-
D.
expressedInCellType
chosen
Indicates that something (such as a gene, protein, or molecule) is expressed or present in a specified cell type.
-
E.
foundOnPropertyOf
Indicates that something is located on, discovered on, or otherwise present within the property owned or controlled by another entity.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff246e0d4481908bcec718e1d4025b |
completed | May 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69ff23cb70ac81909b776ace4597ae9c |
completed | May 9, 2026, 12:08 p.m. |
Created at: May 3, 2026, 4:11 p.m.