Triple
T35945421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capparales |
E1039574
|
entity |
| Predicate | containsPlantsWithCharacteristic |
P203007
|
FINISHED |
| Object | glucosinolates |
—
|
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: glucosinolates | Statement: [Capparales, containsPlantsWithCharacteristic, glucosinolates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsPlantsWithCharacteristic Context triple: [Capparales, containsPlantsWithCharacteristic, glucosinolates]
-
A.
containsPlantsWith
Indicates that one entity includes or holds within it one or more plant entities.
-
B.
hasPlantSymbol
Indicates that an entity is associated with or represented by a particular plant as its symbolic emblem or sign.
-
C.
hasPlantPart
Indicates that one entity includes, contains, or is composed of a specific plant part of another entity.
-
D.
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).
-
E.
hasAttractiveFoliage
Indicates that an entity possesses foliage that is visually appealing or ornamental in appearance.
- 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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00d9717a9881908194163d719f14d6 |
completed | May 10, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a00d91db2ec81909ebacfc9f0d11dd8 |
completed | May 10, 2026, 7:14 p.m. |
| PDg | Predicate description generation | batch_6a00d970a11081908f24876a0696d827 |
completed | May 10, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:07 p.m.