Triple
T35946674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juglans regia |
E1039601
|
entity |
| Predicate | allelopathicEffect |
P118698
|
FINISHED |
| Object | inhibits growth of some nearby 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: inhibits growth of some nearby plants | Statement: [Juglans regia, allelopathicEffect, inhibits growth of some nearby plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allelopathicEffect Context triple: [Juglans regia, allelopathicEffect, inhibits growth of some nearby plants]
-
A.
affectsPlantPart
Indicates that one entity produces an influence, change, or impact on a specific part of a plant.
-
B.
causesDiseaseInPlants
Indicates that one entity is responsible for causing a disease or pathological condition in plants.
-
C.
agronomicTrait
Indicates a relationship where a trait is characterized specifically in terms of its relevance to agricultural growth, management, or productivity of plants or crops.
-
D.
effectOnTrees
Indicates the impact or influence that something has on trees.
-
E.
hasEnvironmentalEffect
chosen
Indicates that one entity causes, contributes to, or is associated with an impact on the environment of another entity or context.
- 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.