Triple
T20072242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CNPSC coalition |
E499766
|
entity |
| Predicate | partOfContext |
P36
|
FINISHED |
| Object | ongoing insecurity in eastern DRC |
—
|
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: ongoing insecurity in eastern DRC | Statement: [CNPSC coalition, partOfContext, ongoing insecurity in eastern DRC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfContext Context triple: [CNPSC coalition, partOfContext, ongoing insecurity in eastern DRC]
-
A.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
B.
context
chosen
Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
-
C.
contextOfComposition
Indicates the situational, cultural, or environmental circumstances in which a composition or work was created.
-
D.
contextType
Indicates the type or category of contextual information associated with an entity or event.
-
E.
appearsInContextWith
Indicates that two entities are observed or used together within the same situational, textual, or usage context.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66438633481908710907c48806499 |
completed | April 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:40 p.m.