Triple
T22986325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan and Syria |
E571615
|
entity |
| Predicate | refugeeImpact |
P9069
|
FINISHED |
| Object | large Syrian refugee population in Jordan |
—
|
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: large Syrian refugee population in Jordan | Statement: [Jordan and Syria, refugeeImpact, large Syrian refugee population in Jordan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refugeeImpact Context triple: [Jordan and Syria, refugeeImpact, large Syrian refugee population in Jordan]
-
A.
hasRefugeePopulation
chosen
Indicates that an entity hosts, contains, or is associated with a population of refugees.
-
B.
contextOfRefugees
Indicates the situational, social, or environmental circumstances in which refugees exist or to which they are related.
-
C.
refugeeParticipation
Indicates that refugees are actively involved in, contribute to, or take part in a specific activity, process, program, or decision-making context.
-
D.
wasRefugee
Indicates that an entity previously lived as a refugee, having been forced to leave their home country due to conflict, persecution, or disaster.
-
E.
refugeeAdministration
Indicates the management, coordination, or oversight of services, policies, and procedures related to refugees.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182996ee08190ab74014ee7ecac2b |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:49 p.m.