Triple
T19821040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crimean pine |
E476193
|
entity |
| Predicate | photosynthesisTime |
P137451
|
FINISHED |
| Object | year-round |
—
|
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: year-round | Statement: [Crimean pine, photosynthesisTime, year-round]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photosynthesisTime Context triple: [Crimean pine, photosynthesisTime, year-round]
-
A.
photosynthesisRate
Indicates the rate at which photosynthesis occurs in an organism or system, typically measuring how quickly light energy is converted into chemical energy.
-
B.
photosynthesisType
Indicates the specific kind or category of photosynthesis an organism performs (e.g., C3, C4, CAM).
-
C.
photosyntheticStage
Indicates the specific phase or step an organism or system is in within the overall process of photosynthesis.
-
D.
photosyntheticTissueExposure
Indicates the extent to which photosynthetic tissue is exposed to light or the external environment.
-
E.
photosyntheticCapability
Indicates the ability of one entity to perform photosynthesis, converting light energy 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654fee3e48190ae728e49748ad268 |
completed | April 20, 2026, 4:31 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bcf41c8190b685b5adf46a60fc |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:50 p.m.