Triple
T33317750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banana Capital of the Philippines |
E853057
|
entity |
| Predicate | associatedWithCropVariety |
P165239
|
FINISHED |
| Object | Cavendish banana |
E503561
|
NE 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: Cavendish banana | Statement: [Banana Capital of the Philippines, associatedWithCropVariety, Cavendish banana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCropVariety Context triple: [Banana Capital of the Philippines, associatedWithCropVariety, Cavendish banana]
-
A.
relatedCrop
Indicates that one crop has a meaningful association with another crop, such as complementary growth, rotation suitability, or shared characteristics.
-
B.
hasCropSpecies
Indicates that a particular location, field, or agricultural system is associated with or used to cultivate a specified crop species.
-
C.
wasUsedOnCrop
Indicates that something (such as a substance, tool, or method) was applied or utilized on a particular crop.
-
D.
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.
-
E.
growsVariety
chosen
Indicates that one entity cultivates or produces a specific variety or type of another entity.
- F. None of above.
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_69f349685f088190b8fda44083a018a9 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a35433058c88190a145587fea7ada7e |
completed | June 19, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:33 a.m.