Triple
T38232002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achille Richard |
E1013513
|
entity |
| Predicate | disciplineWithinBiology |
P82843
|
FINISHED |
| Object | taxonomy |
—
|
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: taxonomy | Statement: [Achille Richard, disciplineWithinBiology, taxonomy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disciplineWithinBiology Context triple: [Achille Richard, disciplineWithinBiology, taxonomy]
-
A.
usedInBiology
Indicates that something is employed, applied, or serves a function within the field or practices of biology.
-
B.
biology
Indicates that one entity is related to another through the field, concepts, or processes of biological science.
-
C.
biologicalScope
Indicates the biological level or scope (e.g., molecular, cellular, organismal, population, ecosystem) within which a given relationship, process, or observation is defined or applies.
-
D.
studiedByDiscipline
chosen
Indicates that a subject (such as a phenomenon, object, or concept) is examined, analyzed, or researched within a particular academic or professional discipline.
-
E.
studiedInSubdiscipline
Indicates that an entity pursued study or academic work within a specific subdiscipline of a broader field.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.