Triple
T23187336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varroa destructor |
E579626
|
entity |
| Predicate | feedingStage |
P151284
|
FINISHED |
| Object | adult bee |
—
|
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: adult bee | Statement: [Varroa destructor, feedingStage, adult bee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feedingStage Context triple: [Varroa destructor, feedingStage, adult bee]
-
A.
feedingType
Indicates the manner or method by which one entity provides nourishment or food to another.
-
B.
eatenInStages
Indicates that the act of eating an item occurs over multiple distinct phases or time intervals rather than in a single continuous event.
-
C.
feedingStructure
Indicates a relationship where one entity serves as the anatomical or mechanical structure used by another entity to obtain or ingest food.
-
D.
feedingHabitat
Indicates the type of environment or location where an organism typically obtains and consumes its food.
-
E.
eraOfPrimaryDevelopment
Indicates the time period during which something was primarily developed or formed.
- F. None of above. chosen
Provenance (4 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd4c6f481908b6138a44b98c8a7 |
completed | April 29, 2026, 4:57 a.m. |
| PD | Predicate disambiguation | batch_69ef8a041c0081909afb670d17a5aaba |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b75e2708190ba48875e36f983bc |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4:05 p.m.