Triple
T31535610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | entacapone |
E804592
|
entity |
| Predicate | canBeCombinedInFixedDoseWith |
P153040
|
FINISHED |
| Object | levodopa |
—
|
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: levodopa | Statement: [entacapone, canBeCombinedInFixedDoseWith, levodopa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeCombinedInFixedDoseWith Context triple: [entacapone, canBeCombinedInFixedDoseWith, levodopa]
-
A.
hasComponentOfFixedDoseCombination
chosen
Indicates that an entity is a constituent component within a fixed-dose combination product, where multiple components are combined in set proportions.
-
B.
canBeAdministeredWith
Indicates that two treatments, substances, or interventions may be given together without unacceptable interaction or conflict.
-
C.
hasDosageForm
Indicates the specific physical form or presentation in which a drug or medicinal product is supplied or administered (e.g., tablet, injection, cream).
-
D.
hasCommonDoseStrength
Indicates that two medicinal products share at least one identical dosage strength.
-
E.
isIndicatedAsMonotherapyFor
Indicates that a treatment is recommended or used alone, without combination with other therapies, for a particular condition or purpose.
- 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_69f348d03ef88190a2b73d7b94b9e02d |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: April 30, 2026, 10:03 p.m.