Triple
T16851959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Descovy |
E409695
|
entity |
| Predicate | containsComponentBrand |
P125215
|
FINISHED |
| Object | emtricitabine |
—
|
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: emtricitabine | Statement: [Descovy, containsComponentBrand, emtricitabine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsComponentBrand Context triple: [Descovy, containsComponentBrand, emtricitabine]
-
A.
hasBrandName
Indicates that an entity is associated with or identified by a specific brand name.
-
B.
hasBrandType
Indicates that an entity is associated with or categorized under a particular brand type or classification.
-
C.
componentTypeAssociatedWithBrand
Indicates that a specific component type is linked or affiliated with a particular brand.
-
D.
brandIncludes
Indicates that a broader brand or brand portfolio encompasses, owns, or contains the specified sub-brand, product line, or branded entity.
-
E.
compatibleBrand
Indicates that one brand is suitable for use with, or functions properly alongside, another brand.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b379b8fc81908d8bc9950c7f8bad |
completed | April 18, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e355722040819098830dabf207ecd6 |
completed | April 18, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:24 a.m.