Triple
T34000302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tierkidi refugee camp |
E871797
|
entity |
| Predicate | primaryRefugeePopulation |
P78867
|
FINISHED |
| Object | South Sudanese refugees |
—
|
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: South Sudanese refugees | Statement: [Tierkidi refugee camp, primaryRefugeePopulation, South Sudanese refugees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRefugeePopulation Context triple: [Tierkidi refugee camp, primaryRefugeePopulation, South Sudanese refugees]
-
A.
hasRefugeePopulation
Indicates that an entity hosts, contains, or is associated with a population of refugees.
-
B.
primaryRefugeeGroup
chosen
Indicates that the referenced group is the main or principal group of refugees associated with a particular context, event, or record.
-
C.
displacedPeopleEstimate
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.
-
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.
refugeesDisplacedSince
Indicates the number of refugees who have been forced to leave their homes since a specified point in time.
- 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:50 a.m.