Triple
T16083536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welwitschiaceae |
E390170
|
entity |
| Predicate | photosyntheticTissueExposure |
P121832
|
FINISHED |
| Object | exposed at soil surface |
—
|
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: exposed at soil surface | Statement: [Welwitschiaceae, photosyntheticTissueExposure, exposed at soil surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photosyntheticTissueExposure Context triple: [Welwitschiaceae, photosyntheticTissueExposure, exposed at soil surface]
-
A.
photosyntheticTissue
Indicates that an entity has tissue capable of performing photosynthesis, converting light energy into chemical energy.
-
B.
photosyntheticOrganPersistence
Indicates that the photosynthetic organs of an organism remain present and functional for a certain duration or life stage rather than being shed or lost.
-
C.
photosyntheticCapability
Indicates the ability of one entity to perform photosynthesis, converting light energy into chemical energy.
-
D.
photosyntheticOrgan
Indicates that an entity is an organ specialized for performing photosynthesis in an organism.
-
E.
photosynthesisRate
Indicates the rate at which photosynthesis occurs in an organism or system, typically measuring how quickly light energy is converted into chemical energy.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:59 a.m.