Triple
T28818190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epstein–Barr virus infection |
E727688
|
entity |
| Predicate | primaryTargetCells |
P190270
|
FINISHED |
| Object | B lymphocytes |
—
|
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 lymphocytes | Statement: [Epstein–Barr virus infection, primaryTargetCells, B lymphocytes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTargetCells Context triple: [Epstein–Barr virus infection, primaryTargetCells, B lymphocytes]
-
A.
primaryTarget
Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
-
B.
primaryTargetType
Indicates the main category or type of entity that is the principal focus or intended recipient of an action, effect, or operation.
-
C.
targetsReceptor
Indicates that one entity is directed toward, binds to, or is designed to act upon a specific receptor.
-
D.
hostCells
chosen
Indicates that one entity provides living cells that support, contain, or are used by another entity (such as a virus, parasite, or experimental system).
-
E.
secondaryTarget
Indicates that an entity serves as an additional or subordinate target in relation to a primary target within a given context or action.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a007ef69f5c8190be6fb89e918d30fa |
completed | May 10, 2026, 12:49 p.m. |
| PD | Predicate disambiguation | batch_6a007e4060448190ad7420b07c1fe219 |
completed | May 10, 2026, 12:46 p.m. |
Created at: April 28, 2026, 6:33 a.m.