Triple
T15176843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa Tropical |
E362630
|
entity |
| Predicate | supportsCropType |
P54821
|
FINISHED |
| Object | tropical fruit cultivation |
—
|
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: tropical fruit cultivation | Statement: [Costa Tropical, supportsCropType, tropical fruit cultivation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCropType Context triple: [Costa Tropical, supportsCropType, tropical fruit cultivation]
-
A.
includesCropType
Indicates that an entity contains or encompasses a specific type of crop within its scope or composition.
-
B.
hasCropSpecies
chosen
Indicates that a particular location, field, or agricultural system is associated with or used to cultivate a specified crop species.
-
C.
usesCrop
Indicates that one entity employs or applies a particular crop for a specific purpose or function.
-
D.
includesCrop
Indicates that one entity (such as a field, farm, or agricultural area) contains or has within it a specified crop.
-
E.
commonCropMember
Indicates that the related entities belong to the same commonly recognized crop group or variety.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00663b4148190b647592eda315d1d |
completed | April 15, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:09 a.m.