Triple
T31978881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mission blue butterfly |
E816521
|
entity |
| Predicate | pollinatorFor |
P19798
|
FINISHED |
| Object | various native flowering plants |
—
|
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: various native flowering plants | Statement: [Mission blue butterfly, pollinatorFor, various native flowering plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pollinatorFor Context triple: [Mission blue butterfly, pollinatorFor, various native flowering plants]
-
A.
pollinates
chosen
Indicates that one entity transfers pollen to another, enabling or contributing to its fertilization or reproduction.
-
B.
pollinatedBy
Indicates that an entity receives pollen from another entity, which acts as the pollinator enabling its fertilization or reproduction.
-
C.
cropPollinationExample
Indicates that one entity serves as an example or instance of pollination occurring in a particular crop.
-
D.
pollination
Indicates the transfer of pollen from one flower’s reproductive structures to another’s, enabling fertilization and seed production.
-
E.
fliesOn
Indicates that an entity travels as a passenger or cargo aboard a particular aircraft, airline, or flight.
- 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_69f348f6a3008190bfb59ca695fd68e2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b348d01c8190afa1fe9ece4de11a |
completed | May 3, 2026, 2:30 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:11 a.m.