Triple
T2661207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Droseraceae |
E54728
|
entity |
| Predicate | hasEnzyme |
P31231
|
FINISHED |
| Object | proteases for prey digestion |
—
|
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: proteases for prey digestion | Statement: [Droseraceae, hasEnzyme, proteases for prey digestion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnzyme Context triple: [Droseraceae, hasEnzyme, proteases for prey digestion]
-
A.
enzymeType
chosen
Indicates the specific class or category of enzyme associated with an entity or reaction.
-
B.
isMetabolizedBy
Indicates that a substance is biochemically broken down or transformed through metabolic processes carried out by a specified organism, cell type, or enzyme system.
-
C.
hasComb
Indicates that an entity possesses or is equipped with a comb.
-
D.
hasAmyloseContent
Indicates that an entity (typically a food or plant material) possesses a specified amount or proportion of amylose in its starch content.
-
E.
hasPar
Indicates a relationship where one entity has another entity as its parent.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd9504d10819091abc03532a2fa6d |
completed | March 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.