Triple
T18375292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urera baccifera |
E446296
|
entity |
| Predicate | hasStingingHairsOn |
P53081
|
FINISHED |
| Object | leaves |
—
|
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: leaves | Statement: [Urera baccifera, hasStingingHairsOn, leaves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStingingHairsOn Context triple: [Urera baccifera, hasStingingHairsOn, leaves]
-
A.
hasStingingHairs
chosen
Indicates that an entity possesses hairs capable of delivering a sting or irritation upon contact.
-
B.
stingingHairsContain
Indicates that the stinging hairs of an organism or structure contain a specified substance or component.
-
C.
hasGraspingSpinesOn
Indicates that one entity possesses grasping spines located on a specified part or surface of another entity.
-
D.
hasGraspingSpines
Indicates that an entity possesses specialized spine-like structures used for grasping or holding objects or other entities.
-
E.
hasStinger
Indicates that an entity possesses a stinger as a physical feature.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51759353481908aa2de599fd2cf3b |
completed | April 19, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:45 a.m.