Triple
T37510943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emex spinosa |
E932213
|
entity |
| Predicate | isAgriculturalWeed |
P100080
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Emex spinosa, isAgriculturalWeed, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAgriculturalWeed Context triple: [Emex spinosa, isAgriculturalWeed, true]
-
A.
hasWeedySpecies
chosen
Indicates that an entity is associated with plant species considered weedy, invasive, or prone to unwanted spread.
-
B.
isPlantOf
Indicates that one entity is a plant that belongs to, is associated with, or is characteristic of another entity (such as a region, habitat, or owner).
-
C.
isBotanical
Indicates that something pertains to plants or plant science, such as being derived from, related to, or characteristic of botanical life or botany.
-
D.
isSeedPlant
Indicates that an entity is a plant that reproduces via seeds rather than spores or other methods.
-
E.
isMedicinalPlant
Indicates that a plant is used for medicinal purposes, such as treating, preventing, or alleviating health conditions.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.