Triple
T15353333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pouzolzia sanguinolenta |
E367107
|
entity |
| Predicate | isAngiosperm |
P15753
|
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: [Pouzolzia sanguinolenta, isAngiosperm, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAngiosperm Context triple: [Pouzolzia sanguinolenta, isAngiosperm, true]
-
A.
isSeedPlant
Indicates that an entity is a plant that reproduces via seeds rather than spores or other methods.
-
B.
angiospermGroup
chosen
Indicates a taxonomic grouping relationship in which one entity is classified as a group or category within the angiosperms (flowering plants).
-
C.
seedPlant
Indicates the action of placing seeds into soil or another growing medium to initiate the growth of plants.
-
D.
isWoodyPlant
Indicates that the subject is a plant characterized by persistent, woody stems or trunks that remain above ground year-round.
-
E.
isDicotFamily
Indicates that a plant family belongs to the group of dicotyledonous (dicot) plants, characterized by having two seed leaves and related dicot traits.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2a8e88819093e4b7479b2c80cd |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:18 a.m.