Triple
T402888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethiopian Jews |
E9322
|
entity |
| Predicate | periodOfMassAliyah |
P2791
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Ethiopian Jews, periodOfMassAliyah, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodOfMassAliyah Context triple: [Ethiopian Jews, periodOfMassAliyah, 1980s]
-
A.
majorImmigrationPeriod
chosen
Indicates that a time interval represents a significant period during which substantial immigration occurred.
-
B.
yearOfEmigration
Indicates the specific year in which an entity permanently left its country or place of origin to settle elsewhere.
-
C.
timePeriodOfMajorExpansion
Indicates the time span during which the referenced entity underwent its most significant growth or expansion.
-
D.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
E.
numberOfJewsArrested
Indicates the quantity of Jewish individuals who were apprehended or taken into custody in a given event or context.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eca0e2048190a7bf360257965e56 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96ee4ec8190a5c0e3f491d3963d |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.