Triple
T11264255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moynaq |
E266642
|
entity |
| Predicate | causeOfEnvironmentalProblems |
P11752
|
FINISHED |
| Object | Soviet-era irrigation projects |
—
|
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: Soviet-era irrigation projects | Statement: [Moynaq, causeOfEnvironmentalProblems, Soviet-era irrigation projects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfEnvironmentalProblems Context triple: [Moynaq, causeOfEnvironmentalProblems, Soviet-era irrigation projects]
-
A.
shareEnvironmentalIssues
Indicates that two or more entities are affected by, involved in, or concerned with the same environmental problems or challenges.
-
B.
environmentalIssue
Indicates that something is a problem or concern related to the natural environment, such as harm, risk, or negative impact on ecosystems or resources.
-
C.
environmentalIssueAddressed
Indicates that an action, policy, or entity is aimed at tackling, mitigating, or resolving a specific environmental problem or concern.
-
D.
hasEnvironmentalImpactOn
Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
-
E.
humanImpact
chosen
Indicates the effect or influence that human activities have on another entity, system, 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94d56048190bf808e1bc2188714 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.