Triple
T11528773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Aral Sea |
E273363
|
entity |
| Predicate | experiencedMajorShrinkageDuring |
P38452
|
FINISHED |
| Object | second half of the 20th century |
—
|
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: second half of the 20th century | Statement: [South Aral Sea, experiencedMajorShrinkageDuring, second half of the 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: experiencedMajorShrinkageDuring Context triple: [South Aral Sea, experiencedMajorShrinkageDuring, second half of the 20th century]
-
A.
timePeriodOfMajorShrinkage
chosen
Indicates the time period during which a significant reduction or contraction of something occurs.
-
B.
hadHeightReducedBy
Indicates that an entity’s height has decreased by a specified amount or proportion due to some change or action.
-
C.
collapsedDuring
Indicates that one entity structurally failed or fell down while another specified event or process was occurring.
-
D.
reducedCapacity
Indicates that an entity is functioning with less than its normal or full capacity, ability, or effectiveness.
-
E.
weakenedDuring
Indicates that an entity’s strength, intensity, or effectiveness is reduced over the course of a specified time period or event.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d883972b10819093bd09cf8406671c |
completed | April 10, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69d80879fdb48190be6dacc8aa63c809 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.