Triple
T725491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosa |
E14716
|
entity |
| Predicate | isCultivatedFor |
P13236
|
FINISHED |
| Object | ornamental flowers |
—
|
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: ornamental flowers | Statement: [Rosa, isCultivatedFor, ornamental flowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCultivatedFor Context triple: [Rosa, isCultivatedFor, ornamental flowers]
-
A.
cultivatedFor
chosen
Indicates that one entity is intentionally grown, raised, or developed for the benefit, use, or purpose of another entity.
-
B.
widelyCultivatedIn
Indicates that something is grown extensively or on a large scale within a particular place or region.
-
C.
cultivated
Indicates that an entity intentionally grew, raised, or nurtured another entity (such as crops, plants, or skills) through deliberate care or agricultural practice.
-
D.
majorCrop
Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
-
E.
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.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f839608190878a60eb7a044ed9 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.