Triple
T14664108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agworok |
E344318
|
entity |
| Predicate | hasConflictExperience |
P61727
|
FINISHED |
| Object | affected by communal conflicts in Southern Kaduna |
—
|
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: affected by communal conflicts in Southern Kaduna | Statement: [Agworok, hasConflictExperience, affected by communal conflicts in Southern Kaduna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConflictExperience Context triple: [Agworok, hasConflictExperience, affected by communal conflicts in Southern Kaduna]
-
A.
conflictExperience
chosen
Indicates that an entity has undergone or been involved in a conflict, such as a dispute, struggle, or confrontation.
-
B.
hasPartOfConflict
Indicates that one conflict includes another conflict as a constituent or subordinate part of it.
-
C.
facedConflictOver
Indicates that two or more entities experienced opposition, dispute, or tension concerning a particular issue, resource, or situation.
-
D.
hasCauseOfConflict
Indicates a relationship where one entity is the source or reason for a conflict involving another entity.
-
E.
hasSubjectConflictParticipatedIn
Indicates that a subject is involved in or has taken part in a particular conflict.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ae5ac81908cc69891f280e5f7 |
completed | April 14, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:27 a.m.