Triple
T33287294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacteriophage T2 |
E852212
|
entity |
| Predicate | hasCapsid |
P199089
|
FINISHED |
| Object | protein capsid |
—
|
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: protein capsid | Statement: [Bacteriophage T2, hasCapsid, protein capsid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapsid Context triple: [Bacteriophage T2, hasCapsid, protein capsid]
-
A.
hasGenomePackaging
Indicates that one entity is responsible for enclosing, organizing, or assembling the genetic material (genome) of another entity into its proper structural form.
-
B.
capsidSymmetry
Indicates the type or pattern of geometric symmetry exhibited by a virus’s capsid structure.
-
C.
hasPlasmid
Indicates that one entity possesses or contains a plasmid associated with it.
-
D.
isCarrierOf
Indicates that one entity serves as the bearer, holder, or transmitter of another entity (such as an object, substance, trait, or information).
-
E.
capsule
Indicates that one entity is a capsule containing, enclosing, or encapsulating another entity.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff1e3e13c08190bb8990c44716b746 |
completed | May 9, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_69ff1dfcaf2c8190aaf2b428d57b7782 |
completed | May 9, 2026, 11:43 a.m. |
| PDg | Predicate description generation | batch_69ff1e3d5f488190ba6e4f024128fb99 |
completed | May 9, 2026, 11:45 a.m. |
Created at: May 1, 2026, 1:32 a.m.