Triple
T31535743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mucuna pruriens |
E804595
|
entity |
| Predicate | seedConstituent |
P112016
|
FINISHED |
| Object | L-DOPA |
—
|
NE NERFINISHED |
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: L-DOPA | Statement: [Mucuna pruriens, seedConstituent, L-DOPA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seedConstituent Context triple: [Mucuna pruriens, seedConstituent, L-DOPA]
-
A.
usesConstituentsFrom
chosen
Indicates that one entity is composed of, incorporates, or is derived from specific constituent parts provided by another entity.
-
B.
symbolicConstituencyBase
Indicates that one entity serves as the foundational or base symbolic unit within a larger symbolic constituency or structured symbolic grouping.
-
C.
secondaryConstituent
Indicates that one entity functions as a secondary or subordinate component, element, or member within the structure or composition of another entity.
-
D.
typicalConstituentType
Indicates the usual or characteristic type of component that typically makes up or forms part of something.
-
E.
seedRepresents
Indicates that one entity serves as a symbolic, conceptual, or prototypical representation of another, like a "seed" example standing in for a broader idea or set.
- 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_69f348d03ef88190a2b73d7b94b9e02d |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8055f8081908f635fe04654b5fe |
completed | May 3, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:03 p.m.