Triple
T19992923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebixa |
E494106
|
entity |
| Predicate | elimination |
P129872
|
FINISHED |
| Object | primarily 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: primarily renal excretion | Statement: [Ebixa, elimination, primarily renal excretion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elimination Context triple: [Ebixa, elimination, primarily renal excretion]
-
A.
removal
chosen
Indicates the action or process by which something is taken away, eliminated, or detached from something else.
-
B.
loserElimination
Indicates that the entity identified as the loser in a competition, game, or contest is removed or disqualified from further participation.
-
C.
typeOfElimination
Indicates the specific method or process by which something is removed, discarded, or ruled out from consideration.
-
D.
reasonForElimination
Indicates the specific cause or justification for why an entity was removed, disqualified, or excluded from consideration.
-
E.
aimsToEliminate
Indicates an intention or directed effort by one entity to remove, destroy, or completely get rid of another entity or condition.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe2036c8190b9f313215ad44e87 |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:31 p.m.