Triple
T4033904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceanothus |
E83781
|
entity |
| Predicate | rootSymbiosis |
P13438
|
FINISHED |
| Object | nitrogen-fixing actinorhizal bacteria |
—
|
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: nitrogen-fixing actinorhizal bacteria | Statement: [Ceanothus, rootSymbiosis, nitrogen-fixing actinorhizal bacteria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rootSymbiosis Context triple: [Ceanothus, rootSymbiosis, nitrogen-fixing actinorhizal bacteria]
-
A.
symbiontType
chosen
Indicates the specific kind or category of symbiotic relationship that exists between associated organisms.
-
B.
containsSymbioticAssociationsWith
Indicates that one entity includes or encompasses another entity with which it maintains a symbiotic (mutually dependent or beneficial) biological relationship.
-
C.
rhizoidType
Indicates the specific kind or category of rhizoid structure associated with an organism or anatomical feature.
-
D.
notableMutualism
Indicates a significant mutually beneficial relationship between two entities, where each provides important advantages or services to the other.
-
E.
biota
Indicates the presence or composition of living organisms (flora, fauna, or other life forms) associated with a given entity or environment.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb108fc0819080c8f41da2e558e0 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.