Triple
T6926976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Mochis |
E160334
|
entity |
| Predicate | agriculturalProductsRegion |
P61339
|
FINISHED |
| Object | sugarcane |
—
|
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: sugarcane | Statement: [Los Mochis, agriculturalProductsRegion, sugarcane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agriculturalProductsRegion Context triple: [Los Mochis, agriculturalProductsRegion, sugarcane]
-
A.
traditionalAgriculturalProduct
Indicates that something is recognized as an agricultural product produced using long-established, customary methods and practices.
-
B.
locatedInAgriculturalRegion
Indicates that an entity is situated within a region primarily characterized by agricultural activities or land use.
-
C.
hasAgriculturalProduction
Indicates that an entity engages in or is characterized by the production of agricultural goods such as crops or livestock.
-
D.
supportsAgricultureInRegion
Indicates that an entity provides resources, conditions, or assistance that enable or enhance agricultural activities within a specified region.
-
E.
cultivatedPrimarilyIn
chosen
Indicates that something is mainly grown, produced, or farmed in a particular place or environment.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1bf2088190a8ccfa01d9a1efc5 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:27 p.m.