Triple
T5981401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ENGAGE (Study 301) |
E133124
|
entity |
| Predicate | moleculeType |
P16615
|
FINISHED |
| Object | human 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: human monoclonal antibody | Statement: [ENGAGE (Study 301), moleculeType, human monoclonal antibody]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moleculeType Context triple: [ENGAGE (Study 301), moleculeType, human monoclonal antibody]
-
A.
hasMolecularWeight
Indicates that an entity possesses a specific molecular weight value, typically expressed in standardized units such as daltons or g/mol.
-
B.
membraneLipidType
Indicates the specific type or class of lipid that composes or is associated with a membrane.
-
C.
substanceType
chosen
Indicates the specific kind or category of substance associated with an entity or relation.
-
D.
crystalType
Indicates the specific crystalline structure or classification that characterizes how a material’s atoms are arranged.
-
E.
designedStructureType
Indicates the type or category of structure that something has been specifically designed to be.
- 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.