Triple
T6490766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prunus spinulosa |
E148028
|
entity |
| Predicate | isCherrySpecies |
P71034
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Prunus spinulosa, isCherrySpecies, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCherrySpecies Context triple: [Prunus spinulosa, isCherrySpecies, true]
-
A.
hasCherryTreeVarieties
Indicates that an entity possesses or includes multiple varieties of cherry trees.
-
B.
isInlandVarietyOf
Indicates that one entity is a variety or subtype of another that occurs specifically in inland (non-coastal) areas.
-
C.
hasCherryTreesPlantedSince
Indicates that cherry trees have been planted on or at an entity starting from a specified point in time and continuing thereafter.
-
D.
isPlantOf
Indicates that one entity is a plant that belongs to, is associated with, or is characteristic of another entity (such as a region, habitat, or owner).
-
E.
isConifer
Indicates that the subject is a coniferous plant, typically bearing cones and having needle-like or scale-like evergreen leaves.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9a8d8481908d88e5c9f0c773f7 |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c067f1ef148190bc0355abe83f7e16 |
completed | March 22, 2026, 10:06 p.m. |
Created at: March 22, 2026, 4:53 p.m.