Triple
T38505022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulu District |
E921739
|
entity |
| Predicate | formerConflictArea |
P34508
|
FINISHED |
| Object | Lord’s Resistance Army insurgency region |
—
|
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: Lord’s Resistance Army insurgency region | Statement: [Gulu District, formerConflictArea, Lord’s Resistance Army insurgency region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerConflictArea Context triple: [Gulu District, formerConflictArea, Lord’s Resistance Army insurgency region]
-
A.
regionOfConflict
chosen
Indicates that a specified region is the location where a particular conflict or dispute takes place.
-
B.
conflictCountry
Indicates that there is an armed conflict or war involving the referenced country as a participant.
-
C.
conflictRegion
Indicates that the entities are located in or associated with a geographic area characterized by active or recent conflict, tension, or hostilities.
-
D.
conflictGround
Indicates that one entity is the cause, basis, or subject matter of a conflict involving another entity.
-
E.
ongoingConflict
Indicates a sustained, unresolved state of opposition or hostilities continuing between the involved entities.
- 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_69f76ea3c5448190aa7002fc1ba3f874 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a014a0b57dc8190b04ce51156ab95fa |
completed | May 11, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_6a0149afa57c8190a83257085766d916 |
completed | May 11, 2026, 3:14 a.m. |
Created at: May 3, 2026, 4:32 p.m.