Triple
T11264254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moynaq |
E266642
|
entity |
| Predicate | causeOfEconomicDecline |
P26452
|
FINISHED |
| Object | drying of the Aral Sea |
—
|
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: drying of the Aral Sea | Statement: [Moynaq, causeOfEconomicDecline, drying of the Aral Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfEconomicDecline Context triple: [Moynaq, causeOfEconomicDecline, drying of the Aral Sea]
-
A.
causeOfDownfall
chosen
Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
-
B.
historicalPeriodOfDecline
Indicates that an entity corresponds to a historical period characterized by decline or deterioration in another entity’s power, influence, stability, or prosperity.
-
C.
interpretationOfDecline
Indicates a relationship where one entity explains, characterizes, or provides a specific understanding of another entity’s decrease, deterioration, or downward trend.
-
D.
hasIndustryDecline
Indicates that an entity is experiencing or associated with a reduction or downturn in its industry’s performance or activity.
-
E.
declineIn
Indicates a relationship where one entity experiences a decrease or reduction in the level, amount, or intensity of another entity over time.
- 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.