Triple
T36443528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coffea |
E897801
|
entity |
| Predicate | majorCropSpecies |
P200979
|
FINISHED |
| Object | Coffea arabica |
—
|
NE NERFINISHED |
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: Coffea arabica | Statement: [Coffea, majorCropSpecies, Coffea arabica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorCropSpecies Context triple: [Coffea, majorCropSpecies, Coffea arabica]
-
A.
majorCrop
Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
-
B.
cultivatedSpecies
Indicates that one entity is a species that is intentionally grown or cultivated by another entity.
-
C.
hasCropSpecies
Indicates that a particular location, field, or agricultural system is associated with or used to cultivate a specified crop species.
-
D.
relatedCrop
Indicates that one crop has a meaningful association with another crop, such as complementary growth, rotation suitability, or shared characteristics.
-
E.
cultivatedPrimarilyIn
Indicates that something is mainly grown, produced, or farmed in a particular place or environment.
- 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_69f76e5720b481908f8177ac24a7560b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffbf84f4948190b41a7bba07ae61ec |
completed | May 9, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69ffbf0a59f88190870dbe25d8a63a00 |
completed | May 9, 2026, 11:11 p.m. |
| PDg | Predicate description generation | batch_69ffbf8402c48190a9bf3c3fcb874508 |
completed | May 9, 2026, 11:13 p.m. |
Created at: May 3, 2026, 4:10 p.m.