Triple
T4227635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aphananthe |
E94496
|
entity |
| Predicate | hasSpecies |
P965
|
FINISHED |
| Object | Aphananthe aspera |
E94496
|
NE 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: Aphananthe aspera | Statement: [Aphananthe, hasSpecies, Aphananthe aspera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aphananthe aspera Context triple: [Aphananthe, hasSpecies, Aphananthe aspera]
-
A.
Aphananthe
chosen
Aphananthe is a small genus of flowering trees and shrubs known for their hard wood and occurrence in warm temperate to tropical regions.
-
B.
Boehmeria
Boehmeria is a genus of flowering plants commonly known for species like ramie, which are cultivated for their strong, fibrous stems used in textile production.
-
C.
Urtica
Urtica is a genus of herbaceous plants best known for its stinging nettles, which have tiny hairs that can irritate the skin.
-
D.
Pipturus
Pipturus is a genus of flowering plants in the nettle order known for its shrubby species, some of which produce fibrous bark and small edible fruits.
-
E.
Rumex
Rumex is a genus of flowering plants commonly known as docks and sorrels, many of which are widespread weeds or edible leafy herbs found in temperate regions worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e5003008190834726e46df3ee9b |
completed | March 12, 2026, 11:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5964a388881908038e5a612424b9b |
completed | March 14, 2026, 5:09 p.m. |
Created at: March 12, 2026, 11:04 p.m.