Triple
T950322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverside |
E20504
|
entity |
| Predicate | associatedWithCrop |
P1897
|
FINISHED |
| Object | navel oranges |
—
|
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: navel oranges | Statement: [Riverside, associatedWithCrop, navel oranges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCrop Context triple: [Riverside, associatedWithCrop, navel oranges]
-
A.
introducedCrop
Indicates that an entity brought a crop species into a new area or context where it was not previously present or cultivated.
-
B.
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.
-
C.
majorCrop
chosen
Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
-
D.
crop
Indicates the action of cutting or trimming part of an object or image, typically to remove unwanted outer areas while keeping a selected region.
-
E.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3d62e408190855b2883407f6c6b |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a045308190ab94f3adab40db8d |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.