Triple
T12449459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malus domestica |
E297490
|
entity |
| Predicate | cultivarCount |
P105075
|
FINISHED |
| Object | thousands of cultivars |
—
|
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: thousands of cultivars | Statement: [Malus domestica, cultivarCount, thousands of cultivars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultivarCount Context triple: [Malus domestica, cultivarCount, thousands of cultivars]
-
A.
cultivarName
Indicates that a specific cultivated variety (cultivar) is designated by a particular name.
-
B.
cultivatedSpecies
Indicates that one entity is a species that is intentionally grown or cultivated by another entity.
-
C.
hasCultivar
Indicates that one entity is a plant species or variety that possesses, includes, or is associated with a specific cultivated variety (cultivar) as another entity.
-
D.
numberOfCrops
Indicates the quantity or count of crops associated with a given entity or context.
-
E.
cultivarOrigin
Indicates that a particular plant cultivar was originally developed, bred, or derived from a specified source location, population, or lineage.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d9511989ac8190ade98f52f66f7cd4 |
completed | April 10, 2026, 7:35 p.m. |
Created at: April 8, 2026, 9:56 p.m.