Triple
T4108748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elatostema |
E88516
|
entity |
| Predicate | photosynthesisEnvironment |
P2900
|
FINISHED |
| Object | low-light conditions |
—
|
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: low-light conditions | Statement: [Elatostema, photosynthesisEnvironment, low-light conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photosynthesisEnvironment Context triple: [Elatostema, photosynthesisEnvironment, low-light conditions]
-
A.
photosynthesisType
Indicates the specific kind or category of photosynthesis an organism performs (e.g., C3, C4, CAM).
-
B.
photosyntheticOrganism
Indicates that an organism performs photosynthesis, converting light energy into chemical energy to sustain itself.
-
C.
photosyntheticOrgan
Indicates that an entity is an organ specialized for performing photosynthesis in an organism.
-
D.
environmentalCondition
chosen
Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
-
E.
photosyntheticStage
Indicates the specific phase or step an organism or system is in within the overall process of photosynthesis.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03d7240c8190a64dcbc669772808 |
completed | March 9, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69af0183eb84819087d7184de28f5514 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:40 p.m.