Triple
T22629766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2,4-D |
E558515
|
entity |
| Predicate | causesInPlants |
P122800
|
FINISHED |
| Object | uncontrolled cell division and growth |
—
|
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: uncontrolled cell division and growth | Statement: [2,4-D, causesInPlants, uncontrolled cell division and growth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causesInPlants Context triple: [2,4-D, causesInPlants, uncontrolled cell division and growth]
-
A.
causesDiseaseInPlants
chosen
Indicates that one entity is responsible for causing a disease or pathological condition in plants.
-
B.
affectsPlantPart
Indicates that one entity produces an influence, change, or impact on a specific part of a plant.
-
C.
involvesPlant
Indicates that the relationship or action includes or pertains to a plant as a participating entity.
-
D.
hostsPlantOf
Indicates that one entity serves as a host environment or substrate on which a particular plant lives, grows, or depends.
-
E.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3febd081909ff21abef1e4035d |
completed | April 29, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 3:02 p.m.