Triple
T19773645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takeda Pharmaceutical Company |
E474950
|
entity |
| Predicate | coreTherapeuticArea |
P137286
|
FINISHED |
| Object | oncology |
—
|
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: oncology | Statement: [Takeda Pharmaceutical Company, coreTherapeuticArea, oncology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreTherapeuticArea Context triple: [Takeda Pharmaceutical Company, coreTherapeuticArea, oncology]
-
A.
potentialTherapeuticUse
Indicates that something is being considered or investigated as a possible treatment or therapy for a condition or disease.
-
B.
clinicalProgram
Indicates that an entity is part of, associated with, or classified under a specific clinical program or initiative.
-
C.
knownForIssuerTherapies
Indicates that an issuer is recognized or notable for providing or developing specific therapies.
-
D.
treatmentIndication
Indicates that a treatment is intended to address, alleviate, or prevent a particular condition, symptom, or medical indication.
-
E.
medicalBackground
Indicates that an entity has a history of prior medical conditions, treatments, or health-related experiences relevant to its current state or context.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535e450c8190a2628245ae0d0bd3 |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:48 p.m.