Triple
T15478621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAD+ |
E376853
|
entity |
| Predicate | hasTypicalRatioTo |
P16308
|
FINISHED |
| Object | NADH |
—
|
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: NADH | Statement: [NAD+, hasTypicalRatioTo, NADH]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalRatioTo Context triple: [NAD+, hasTypicalRatioTo, NADH]
-
A.
isProportionalTo
Indicates that one quantity varies in constant ratio to another, so when one changes, the other changes by a fixed multiplicative factor.
-
B.
hasProportion
chosen
Indicates that one entity stands in a specified ratio, fraction, or relative share to another entity or whole.
-
C.
hasTypicalColumnHeightToDiameterRatio
Indicates that there is a characteristic or commonly observed proportional relationship between a column’s height and its diameter.
-
D.
radiusRatio
Indicates the proportional relationship between one radius and another, typically expressing how large one is relative to the other.
-
E.
aspectRatio
Indicates the proportional relationship between an entity’s width and its height.
- 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.