Triple
T29852444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhizobiaceae |
E758098
|
entity |
| Predicate | fixesNitrogenInAssociationWith |
P4281
|
FINISHED |
| Object | legume roots |
—
|
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: legume roots | Statement: [Rhizobiaceae, fixesNitrogenInAssociationWith, legume roots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fixesNitrogenInAssociationWith Context triple: [Rhizobiaceae, fixesNitrogenInAssociationWith, legume roots]
-
A.
fixesNitrogen
chosen
Indicates that the subject converts atmospheric nitrogen into biologically usable forms through nitrogen fixation.
-
B.
hasNitrogenToPhosphorusRatio
Indicates that there is a specific quantitative relationship between the amount of nitrogen and the amount of phosphorus associated with an entity.
-
C.
nutrientUptake
Indicates the process by which an entity absorbs or takes in nutrients from its surrounding environment.
-
D.
fractionOfAtmosphericNitrogen
Indicates the proportion of atmospheric nitrogen that is attributed to, contained in, or associated with a given entity or context.
-
E.
functionallyRelatedTo
Indicates that two entities are connected through a functional relationship, where the operation, behavior, or role of one depends on, influences, or complements that of the other.
- 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_69f67648f35c8190ab466e413b6dbcb5 |
completed | May 2, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:44 p.m.