Triple
T30274783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guática |
E769905
|
entity |
| Predicate | hasSecondaryCrops |
P197483
|
FINISHED |
| Object | subsistence crops |
—
|
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: subsistence crops | Statement: [Guática, hasSecondaryCrops, subsistence crops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryCrops Context triple: [Guática, hasSecondaryCrops, subsistence crops]
-
A.
hasCropSpecies
Indicates that a particular location, field, or agricultural system is associated with or used to cultivate a specified crop species.
-
B.
canBeCultivatedBy
Indicates that something is capable of being grown, raised, or produced through the efforts or methods of a particular agent or process.
-
C.
isCultivatedAs
Indicates that one entity is intentionally grown, tended, or produced by another as a crop, resource, or cultivated organism.
-
D.
majorCrop
Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
-
E.
hasSecondaryGrowth
Indicates that an organism or structure undergoes secondary growth, meaning it increases in thickness or girth after its initial (primary) growth phase.
- 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_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
| PDg | Predicate description generation | batch_69fe96c0b760819093737292d33df165 |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 29, 2026, 7:44 p.m.