Triple
T13066671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forces Patriotiques pour la Libération du Congo |
E329342
|
entity |
| Predicate | usedForcedRecruitment |
P108265
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Forces Patriotiques pour la Libération du Congo, usedForcedRecruitment, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForcedRecruitment Context triple: [Forces Patriotiques pour la Libération du Congo, usedForcedRecruitment, true]
-
A.
recruitedAs
Indicates that one entity has been brought into a role, position, or organization by another through a recruitment process.
-
B.
recruitsFor
Indicates that one entity actively seeks out, enlists, or brings in participants, members, or resources on behalf of another entity, such as an organization, event, or cause.
-
C.
usesForces
Indicates that one entity applies physical, magical, or other types of forces to influence, move, or affect another entity.
-
D.
usesConscription
Indicates that a state or authority compels individuals into military or national service through mandatory conscription.
-
E.
forcedBy
Indicates that an entity is compelled or coerced into an action or state by another entity.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980eb81948190b27eb9ae19978079 |
completed | April 10, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d980e622e8819087a69bfb1660dd64 |
completed | April 10, 2026, 10:59 p.m. |
Created at: April 9, 2026, 8:59 p.m.