Triple
T10067546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradyrhizobium |
E213137
|
entity |
| Predicate | cellularLocationOfNitrogenase |
P68661
|
FINISHED |
| Object | bacteroids in root nodules |
—
|
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: bacteroids in root nodules | Statement: [Bradyrhizobium, cellularLocationOfNitrogenase, bacteroids in root nodules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cellularLocationOfNitrogenase Context triple: [Bradyrhizobium, cellularLocationOfNitrogenase, bacteroids in root nodules]
-
A.
subcellularLocation
Indicates the specific location or compartment within a cell where an entity (such as a molecule or structure) is situated or functions.
-
B.
cellularLocation
chosen
Indicates the location or compartment within a cell where an entity (such as a molecule or process) is situated or occurs.
-
C.
nutrientUptake
Indicates the process by which an entity absorbs or takes in nutrients from its surrounding environment.
-
D.
cellularComponent
Indicates the relationship between a biological entity and the specific cellular location or structure in which it is physically present or functions.
-
E.
fixesNitrogen
Indicates that the subject converts atmospheric nitrogen into biologically usable forms through nitrogen fixation.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff798bc8190a84af7bedea66f0a |
completed | April 2, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69cd4b92573481909389bc6148ae7ea8 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:58 p.m.