Triple
T5981336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EMERGE (Study 302) |
E133123
|
entity |
| Predicate | drugType |
P24605
|
FINISHED |
| Object | monoclonal antibody |
—
|
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: monoclonal antibody | Statement: [EMERGE (Study 302), drugType, monoclonal antibody]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drugType Context triple: [EMERGE (Study 302), drugType, monoclonal antibody]
-
A.
drugClass
chosen
Indicates that one entity is classified as a particular pharmacological or therapeutic category of drugs in relation to another entity.
-
B.
drugGenericName
Indicates that a drug entity is associated with its generic (non-brand) name.
-
C.
typeOfRemedy
Indicates that one entity is a specific kind or category of remedy in relation to another entity.
-
D.
mainDrugRoute
Indicates the primary method or pathway by which a drug is administered or delivered to its target.
-
E.
usesDrug
Indicates that an entity consumes, administers, or otherwise makes use of a specified drug.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a6921b081908a6f6323d5c7a062 |
completed | March 22, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69c049de98648190962b14fd341c93da |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.