Triple
T13761887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerria japonica |
E330629
|
entity |
| Predicate | pruningTime |
P110859
|
FINISHED |
| Object | after flowering |
—
|
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: after flowering | Statement: [Kerria japonica, pruningTime, after flowering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pruningTime Context triple: [Kerria japonica, pruningTime, after flowering]
-
A.
pruningType
Indicates the specific method or style of pruning applied to an entity (e.g., how it is cut back or trimmed).
-
B.
pruningTolerance
Indicates how well an entity can withstand or recover from being cut back, trimmed, or pruned.
-
C.
fruitingSeason
Indicates the time period during which a plant produces mature, harvestable fruits.
-
D.
timePeriodOfMajorPlanting
Indicates the time period during which the primary or most significant planting activity takes place.
-
E.
raftingSeason
Indicates the time period during which conditions are suitable or officially designated for engaging in rafting activities.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02250f4881908d5193b3d5d25844 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59db0148190bcaf9646403ca64f |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 10:09 p.m.