Triple
T19573838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Uzbekistan |
E489794
|
entity |
| Predicate | agriculturalChallenge |
P125911
|
FINISHED |
| Object | water scarcity |
—
|
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: water scarcity | Statement: [Southern Uzbekistan, agriculturalChallenge, water scarcity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agriculturalChallenge Context triple: [Southern Uzbekistan, agriculturalChallenge, water scarcity]
-
A.
cultivationChallenge
Indicates a situation where the process of cultivating or growing something faces difficulty, obstacles, or increased effort.
-
B.
hasAgriculturalChallenge
chosen
Indicates that an entity is experiencing or associated with a difficulty, problem, or obstacle related to agriculture or farming activities.
-
C.
agriculturalFocus
Indicates that an entity is primarily concerned with, oriented toward, or specializing in agriculture or farming-related activities.
-
D.
agriculturalPractice
Indicates a relationship where an entity engages in, applies, or is associated with a specific method or technique of agriculture or farming.
-
E.
agriculturalImplication
Indicates a relationship where one factor, event, or condition has consequences, effects, or relevance specifically within an agricultural context.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402333dc8190bdffb1da68e2c76b |
completed | April 20, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:42 p.m.