Triple
T12040216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congolese Armed Forces |
E286638
|
entity |
| Predicate | recruitmentIssues |
P102898
|
FINISHED |
| Object | child soldier use (historical and alleged) |
—
|
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: child soldier use (historical and alleged) | Statement: [Congolese Armed Forces, recruitmentIssues, child soldier use (historical and alleged)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recruitmentIssues Context triple: [Congolese Armed Forces, recruitmentIssues, child soldier use (historical and alleged)]
-
A.
recruitmentFrom
Indicates that one entity recruits or sources members, employees, or participants from another entity.
-
B.
recruitingFocus
Indicates that an entity’s recruitment efforts are specifically directed toward or concentrated on another entity or group.
-
C.
recruitmentBase
Indicates the foundational source, location, or context from which recruitment efforts or recruited entities originate.
-
D.
recruitmentChange
Indicates a change in the status, level, or conditions of recruitment associated with an entity or process.
-
E.
recruitmentPolicy
Indicates the rules, criteria, and procedures an organization follows when attracting, selecting, and hiring candidates.
- F. None of above. chosen
Provenance (4 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:47 p.m.