Triple
T24974555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | white pine weevil |
E624981
|
entity |
| Predicate | effectOnTrees |
P160829
|
FINISHED |
| Object | reduces timber quality |
—
|
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: reduces timber quality | Statement: [white pine weevil, effectOnTrees, reduces timber quality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnTrees Context triple: [white pine weevil, effectOnTrees, reduces timber quality]
-
A.
rubberTreesAffectedBy
Indicates that certain rubber trees are impacted or influenced by a specified factor, condition, or event.
-
B.
hasTrees
Indicates that something possesses or contains one or more trees.
-
C.
affectsPlantPart
Indicates that one entity produces an influence, change, or impact on a specific part of a plant.
-
D.
numberOfTrees
Indicates the count or quantity of trees associated with a given entity or context.
-
E.
treeUse
Indicates the way in which a tree is utilized or purposed within a given context.
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f60ac643108190ae81561267155791 |
completed | May 2, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f606c15af88190958856a9e467b826 |
completed | May 2, 2026, 2:14 p.m. |
Created at: April 18, 2026, 6:01 a.m.