Triple
T13531499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metabolists |
E323143
|
entity |
| Predicate | hasComponentProcess |
P1410
|
FINISHED |
| Object | glycolysis |
—
|
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: glycolysis | Statement: [Metabolists, hasComponentProcess, glycolysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComponentProcess Context triple: [Metabolists, hasComponentProcess, glycolysis]
-
A.
hasProcess
chosen
Indicates that an entity is associated with, participates in, or is characterized by a particular process.
-
B.
hasComponentProgram
Indicates that one program includes or is composed of another program as a component or sub-program.
-
C.
hasSubProcess
Indicates that one process is composed of or includes another process as a subordinate or component step.
-
D.
hasComponentCurrent
Indicates that an entity currently includes or contains a specific component as part of its present composition or structure.
-
E.
hasComponentWork
Indicates that one work includes another work as a constituent or subordinate component within it.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbb34548190a6b44faa48125cd4 |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.