Triple
T36984616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aral Sea environmental disaster |
E914927
|
entity |
| Predicate | notableTownAffected |
—
|
GENERATED |
| Object | Aralsk |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTownAffected Context triple: [Aral Sea environmental disaster, notableTownAffected, Aralsk]
-
A.
affectedCity
chosen
Indicates that a particular city is impacted or influenced by a specified event, action, or condition.
-
B.
hasNotableTown
Indicates that an entity includes or is associated with a town that is considered notable or significant in some way.
-
C.
notableHumanSettlement
Indicates that a location is recognized as a significant or noteworthy human settlement, such as a city, town, or village.
-
D.
notableCityOfOperation
Indicates that a city is a primary or particularly significant location where an entity conducts its operations or activities.
-
E.
hasTown
Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
- F. None of above.
Provenance (1 batch)
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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.