Triple
T26543387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Bougainville |
E671450
|
entity |
| Predicate | hasPostConflictStatus |
P17908
|
FINISHED |
| Object | involved in peacebuilding processes |
—
|
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: involved in peacebuilding processes | Statement: [Southern Bougainville, hasPostConflictStatus, involved in peacebuilding processes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPostConflictStatus Context triple: [Southern Bougainville, hasPostConflictStatus, involved in peacebuilding processes]
-
A.
hasConflictStatus
Indicates that there exists a state of conflict or dispute associated with the relationship between the involved entities.
-
B.
postConflictStatus
chosen
Indicates the condition or circumstances of an entity after a conflict or dispute has concluded.
-
C.
hasOngoingConflict
Indicates that there is a current, unresolved state of opposition, dispute, or hostilities between the related entities.
-
D.
hasRelatedConflict
Indicates that one entity is associated with another entity through a related or connected conflict, dispute, or incompatibility.
-
E.
hasConflictCause
Indicates that one entity is the cause or source of a conflict involving another entity.
- 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_69eeb3206e748190b90c85cc81f38c91 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 27, 2026, 1:42 a.m.