Triple
T15478611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAD+ |
E376853
|
entity |
| Predicate | isCatabolizedBy |
P37221
|
FINISHED |
| Object | NADases |
—
|
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: NADases | Statement: [NAD+, isCatabolizedBy, NADases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCatabolizedBy Context triple: [NAD+, isCatabolizedBy, NADases]
-
A.
isMetabolizedBy
chosen
Indicates that a substance is biochemically broken down or transformed through metabolic processes carried out by a specified organism, cell type, or enzyme system.
-
B.
largelyConsumedBy
Indicates that something is mostly or predominantly eaten or used up by a particular consumer or group.
-
C.
isConsumedBy
Indicates that one entity is eaten, drunk, or otherwise ingested or used up by another entity.
-
D.
isMetabolizedPrimarilyIn
Indicates that the substance undergoes its main metabolic processing within the specified biological system or organ.
-
E.
hydrolyzesTo
Indicates that one substance undergoes a hydrolysis reaction to break down into or yield another specified substance.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8a77a081909f12f13660452f4a |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:34 a.m.