Triple
T12318444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquifoliales |
E293664
|
entity |
| Predicate | containsHerbaceousSpecies |
P41593
|
FINISHED |
| Object | few or none |
—
|
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: few or none | Statement: [Aquifoliales, containsHerbaceousSpecies, few or none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsHerbaceousSpecies Context triple: [Aquifoliales, containsHerbaceousSpecies, few or none]
-
A.
hasWeedySpecies
Indicates that an entity is associated with plant species considered weedy, invasive, or prone to unwanted spread.
-
B.
containsPlantsWith
Indicates that one entity includes or holds within it one or more plant entities.
-
C.
includesHerb
chosen
Indicates that one entity contains or incorporates a herb as part of its composition or contents.
-
D.
isBotanical
Indicates that something pertains to plants or plant science, such as being derived from, related to, or characteristic of botanical life or botany.
-
E.
hasAttractiveFoliage
Indicates that an entity possesses foliage that is visually appealing or ornamental in appearance.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.