Triple
T1726594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drosera |
E37509
|
entity |
| Predicate | nutrientSource |
P14752
|
FINISHED |
| Object | nitrogen from prey |
—
|
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 from prey | Statement: [Drosera, nutrientSource, nitrogen from prey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nutrientSource Context triple: [Drosera, nutrientSource, nitrogen from prey]
-
A.
foodSources
Indicates a relationship where one entity serves as a source of food or nourishment for another entity.
-
B.
primaryFood
Indicates that one entity serves as the main or most important food source for another entity.
-
C.
nutritionType
Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
-
D.
nutrientUptake
chosen
Indicates the process by which an entity absorbs or takes in nutrients from its surrounding environment.
-
E.
feedingStructure
Indicates a relationship where one entity serves as the anatomical or mechanical structure used by another entity to obtain or ingest food.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aadb7bda1081908f2c41c520c9c55c |
completed | March 6, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69aa61c0a0288190bce9d60062a84b69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.