Triple
T29852396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alphaproteobacteria |
E758097
|
entity |
| Predicate | includesSymbiontOf |
P18579
|
FINISHED |
| Object | leguminous plants |
—
|
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: leguminous plants | Statement: [Alphaproteobacteria, includesSymbiontOf, leguminous plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSymbiontOf Context triple: [Alphaproteobacteria, includesSymbiontOf, leguminous plants]
-
A.
symbiontType
Indicates the specific kind or category of symbiotic relationship that exists between associated organisms.
-
B.
isSymbiotic
Indicates a mutually dependent relationship in which two entities interact in ways that benefit at least one and typically support the survival or well-being of both.
-
C.
symbiontDependency
Indicates that one symbiotic partner depends on the other for survival, resources, or essential functions within their symbiotic relationship.
-
D.
containsSymbioticAssociationsWith
chosen
Indicates that one entity includes or encompasses another entity with which it maintains a symbiotic (mutually dependent or beneficial) biological relationship.
-
E.
includesOrganisms
Indicates that one entity contains, encompasses, or has as members one or more specified organisms.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a000be59ad88190a6aa3a42c097796d |
completed | May 10, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_6a000ab6e9bc81908300b81d004e5921 |
completed | May 10, 2026, 4:33 a.m. |
Created at: April 29, 2026, 5:44 p.m.