Triple
T31767964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Nile sub-region |
E810858
|
entity |
| Predicate | hasRefugeeSettlements |
P9069
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [West Nile sub-region, hasRefugeeSettlements, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRefugeeSettlements Context triple: [West Nile sub-region, hasRefugeeSettlements, yes]
-
A.
hasRefugeeCamp
Indicates that a location or entity hosts, contains, or is the site of a refugee camp.
-
B.
hasRefugeePopulation
chosen
Indicates that an entity hosts, contains, or is associated with a population of refugees.
-
C.
hasRefugeeMovements
Indicates that there are movements or flows of refugees involving the related entities, such as people fleeing from one place and arriving in another.
-
D.
hasNotableRefuge
Indicates that an entity is associated with a particularly important or well-known place of refuge or shelter.
-
E.
majorResettlementArea
Indicates that a location serves as a primary or significant destination area where people are being resettled.
- 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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a019d1407588190b3b9b83fca2e61fe |
completed | May 11, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_6a019c760e3081909cfe9c0603727e48 |
completed | May 11, 2026, 9:08 a.m. |
Created at: April 30, 2026, 11:32 p.m.