Triple
T1103659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tecfidera |
E25438
|
entity |
| Predicate | hasInitialDose |
P23153
|
FINISHED |
| Object | 120 mg twice daily |
—
|
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: 120 mg twice daily | Statement: [Tecfidera, hasInitialDose, 120 mg twice daily]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInitialDose Context triple: [Tecfidera, hasInitialDose, 120 mg twice daily]
-
A.
hasFirstTrial
Indicates that an entity is associated with its initial or earliest trial, test, or legal proceeding.
-
B.
vaccineUsed
Indicates that a particular vaccine has been administered or applied in a given medical or experimental context.
-
C.
hasInitial
Indicates that one entity possesses or is associated with the first letter or starting character of another entity’s name or value.
-
D.
hasDischarge
Indicates that one entity releases, emits, or expels a substance, energy, or flow from itself.
-
E.
hasHumanUse
Indicates that something is used, employed, or utilized by humans for a particular purpose or benefit.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9c375848190baec4d534f489616 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b7472c848190b0643872f67084a2 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7da38888190a118ef20ce4ae9aa |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:43 p.m.