Triple
T17714627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Discaria articulata |
E442162
|
entity |
| Predicate | fixesAtmosphericNitrogen |
P4281
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Discaria articulata, fixesAtmosphericNitrogen, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fixesAtmosphericNitrogen Context triple: [Discaria articulata, fixesAtmosphericNitrogen, true]
-
A.
fixesNitrogen
chosen
Indicates that the subject converts atmospheric nitrogen into biologically usable forms through nitrogen fixation.
-
B.
fractionOfAtmosphericNitrogen
Indicates the proportion of atmospheric nitrogen that is attributed to, contained in, or associated with a given entity or context.
-
C.
requiresIncubationAtmosphere
Indicates that a process or entity depends on being maintained in a specific controlled atmospheric condition during incubation.
-
D.
capturesAtmosphereOf
Indicates that one entity successfully conveys or reflects the overall mood, tone, or ambiance characteristic of another entity.
-
E.
usesAtmosphereOf
Indicates that one entity makes use of or operates within the atmospheric conditions or composition associated with another entity.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4747f217081909010f396caaf03be |
completed | April 19, 2026, 6:21 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:06 a.m.