Triple
T28859447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fornicata |
E728819
|
entity |
| Predicate | mitochondrialType |
P166509
|
FINISHED |
| Object | mitosomes in many members |
—
|
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: mitosomes in many members | Statement: [Fornicata, mitochondrialType, mitosomes in many members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mitochondrialType Context triple: [Fornicata, mitochondrialType, mitosomes in many members]
-
A.
mitochondrionType
chosen
Indicates the specific kind or classification of mitochondrion associated with an entity.
-
B.
mitochondrialCristaeType
Indicates the specific structural form or organization of the mitochondrial cristae associated with an entity.
-
C.
nucleusType
Indicates the specific kind or classification of nucleus associated with an entity.
-
D.
ribosomeType
Indicates the specific kind or category of ribosome associated with or used by an entity.
-
E.
metabolismType
Indicates the kind of metabolic process or pathway an entity uses to obtain and transform energy or nutrients.
- 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:46 a.m.