Triple
T34865290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Lakes refugee crises |
E1004991
|
entity |
| Predicate | refugeeOriginCountry |
P86815
|
FINISHED |
| Object | Rwanda |
—
|
NE NERFINISHED |
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: Rwanda | Statement: [Great Lakes refugee crises, refugeeOriginCountry, Rwanda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refugeeOriginCountry Context triple: [Great Lakes refugee crises, refugeeOriginCountry, Rwanda]
-
A.
originalRefugeeOrigin
Indicates the place or country from which a refugee initially fled or was displaced.
-
B.
countryOfEmigration
chosen
Indicates the country from which a person or group has emigrated or moved away.
-
C.
countryOfAsylum
Indicates that one entity serves as the country providing asylum or refuge to another entity.
-
D.
countryOfDiaspora
Indicates the country in which a diaspora community originating from another place is located.
-
E.
refugeeOriginEvent
Indicates an event or circumstance that caused or is associated with a person or group becoming refugees and leaving their place of origin.
- 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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.