Triple
T17080649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pripyat |
E414459
|
entity |
| Predicate | populationBeforeEvacuation |
P125800
|
FINISHED |
| Object | approximately 49,000 |
—
|
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: approximately 49,000 | Statement: [Pripyat, populationBeforeEvacuation, approximately 49,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationBeforeEvacuation Context triple: [Pripyat, populationBeforeEvacuation, approximately 49,000]
-
A.
numberOfEvacuated
Indicates the total count of individuals who have been evacuated from a location or situation.
-
B.
numberOfEvacuatedSettlements
Indicates the total count of settlements that have been evacuated.
-
C.
populationLoss
Indicates a decrease in the number of individuals within a defined population over a given period or due to specific causes.
-
D.
populationAfterDestruction
Indicates the size or composition of a population following an event of destruction or devastation.
-
E.
lastKnownPopulations
Indicates the most recently recorded population counts associated with an entity or set of entities.
- F. None of above. chosen
Provenance (4 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe2fe7c819099ab0586b1a119f6 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:34 a.m.