Triple
T19145682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bombyx |
E468671
|
entity |
| Predicate | usesHostPlant |
P134598
|
FINISHED |
| Object | mulberry trees |
—
|
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: mulberry trees | Statement: [Bombyx, usesHostPlant, mulberry trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesHostPlant Context triple: [Bombyx, usesHostPlant, mulberry trees]
-
A.
hostsPlantOf
Indicates that one entity serves as a host environment or substrate on which a particular plant lives, grows, or depends.
-
B.
usedInPlant
Indicates that something is utilized or applied within a plant, such as in its processes, operations, or systems.
-
C.
causesDiseaseInPlants
Indicates that one entity is responsible for causing a disease or pathological condition in plants.
-
D.
typicalHabitatInHost
Indicates that an organism’s usual or characteristic habitat occurs within a particular host organism.
-
E.
involvesPlant
Indicates that the relationship or action includes or pertains to a plant as a participating entity.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e978b0b481909a531efa030c5def |
completed | April 20, 2026, 8:53 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:06 p.m.