Triple
T298776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Famine |
E6151
|
entity |
| Predicate | numberOfEmigrants |
P1943
|
FINISHED |
| Object | approximately 1000000 |
—
|
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 1000000 | Statement: [Great Famine, numberOfEmigrants, approximately 1000000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEmigrants Context triple: [Great Famine, numberOfEmigrants, approximately 1000000]
-
A.
yearOfEmigration
Indicates the specific year in which an entity permanently left its country or place of origin to settle elsewhere.
-
B.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
C.
immigrantPopulationShare
Indicates the proportion of a total population that is made up of immigrants.
-
D.
majorImmigrationPeriod
Indicates that a time interval represents a significant period during which substantial immigration occurred.
-
E.
displacedPeopleEstimate
chosen
Indicates an estimated number of people who have been forced to leave their homes or usual places of residence due to a particular event or situation.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e9398df08190af40063a2de7a1d0 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.