Triple
T19157354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isentress |
E468958
|
entity |
| Predicate | isPartOfTherapy |
P73562
|
FINISHED |
| Object | combination antiretroviral therapy |
—
|
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: combination antiretroviral therapy | Statement: [Isentress, isPartOfTherapy, combination antiretroviral therapy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfTherapy Context triple: [Isentress, isPartOfTherapy, combination antiretroviral therapy]
-
A.
includesTherapy
chosen
Indicates that one entity contains, offers, or encompasses a specific therapeutic treatment or intervention as part of its scope or composition.
-
B.
hasTherapyContext
Indicates that an entity is associated with, occurs within, or is characterized by a specific therapeutic setting, framework, or treatment context.
-
C.
usesTreatment
Indicates that one entity applies or employs a particular treatment or therapeutic method on or for another entity.
-
D.
hasTherapeuticGoal
Indicates that an action, treatment, or intervention is undertaken with the intention of achieving a specific therapeutic or health-related outcome.
-
E.
treatmentIndication
Indicates that a treatment is intended to address, alleviate, or prevent a particular condition, symptom, or medical indication.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeba91a081909c04d61d6117da06 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b83d6881908e6271c620f74100 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.