Triple
T36596266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luena |
E902807
|
entity |
| Predicate | countryConflict |
—
|
GENERATED |
| Object | Angolan Civil War |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryConflict Context triple: [Luena, countryConflict, Angolan Civil War]
-
A.
conflictCountry
chosen
Indicates that there is an armed conflict or war involving the referenced country as a participant.
-
B.
loreConflict
Indicates that there is an inconsistency, contradiction, or incompatibility between pieces of lore or canonical information.
-
C.
politicalConflict
Indicates a relationship where entities are engaged in opposing political positions, struggles, or disputes, often involving competition for power, influence, or policy outcomes.
-
D.
regionOfConflict
Indicates that a specified region is the location where a particular conflict or dispute takes place.
-
E.
contemporaryConflict
Indicates a conflict or dispute occurring between entities within the same general time period or historical era.
- F. None of above.
Provenance (1 batch)
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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.