Triple
T28445763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leloir pathway of galactose metabolism |
E715835
|
entity |
| Predicate | hasCofactor |
P91202
|
FINISHED |
| Object | ATP |
—
|
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: ATP | Statement: [Leloir pathway of galactose metabolism, hasCofactor, ATP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCofactor Context triple: [Leloir pathway of galactose metabolism, hasCofactor, ATP]
-
A.
cofactor
chosen
Indicates that one entity functions as a non-protein helper or auxiliary component required for the proper activity of another entity, typically an enzyme or protein.
-
B.
isAdjointFormOf
Indicates that one mathematical object is the adjoint (or conjugate transpose / dual) form corresponding to another object in a given structure or context.
-
C.
hasFactor
Indicates that one entity is a factor or divisor of another entity in a multiplicative relationship.
-
D.
hasInverseFormula
Indicates that one formula is mathematically derived as the inverse of another formula, reversing its input-output relationship.
-
E.
hasConjugateConcept
Indicates that one concept is the conjugate (e.g., complex, algebraic, or structurally dual counterpart) of another concept within a given formal system.
- 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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69ffa9677be08190852c8ef6c2545fed |
completed | May 9, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69ffa6570e2c8190a9d7b37f12b91d9a |
completed | May 9, 2026, 9:25 p.m. |
Created at: April 28, 2026, 1:48 a.m.