Triple
T4131829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | oseltamivir |
E85057
|
entity |
| Predicate | hasEliminationRoute |
P54020
|
FINISHED |
| Object | renal excretion |
—
|
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: renal excretion | Statement: [oseltamivir, hasEliminationRoute, renal excretion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEliminationRoute Context triple: [oseltamivir, hasEliminationRoute, renal excretion]
-
A.
hasEasiestRoute
Indicates that one entity provides or represents the simplest or least difficult route or path to reach another entity or destination.
-
B.
avoidsRoute
Indicates that an entity deliberately does not use or travel along a particular route.
-
C.
hasNotableRoute
Indicates that an entity (such as a transportation service or pathway) includes or is associated with a route that is considered significant, well-known, or otherwise noteworthy.
-
D.
hasNavigationRoute
Indicates that one entity provides or defines a navigation path or route leading to or through another entity.
-
E.
hasExitFor
Indicates that something provides or includes a specific exit intended for a particular destination, purpose, or user.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af01883b6c8190a482ead589a131a5 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af039fb19c8190b20e62a3b3ad25c1 |
completed | March 9, 2026, 5:30 p.m. |
Created at: March 9, 2026, 3:42 p.m.