Triple
T37145514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | eastern Democratic Republic of the Congo |
E920229
|
entity |
| Predicate | armedGroupPresence |
P78447
|
FINISHED |
| Object | M23 |
—
|
NE NERFINISHED |
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: M23 | Statement: [eastern Democratic Republic of the Congo, armedGroupPresence, M23]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: armedGroupPresence Context triple: [eastern Democratic Republic of the Congo, armedGroupPresence, M23]
-
A.
armedGroup
chosen
Indicates that an entity is an organized group equipped with weapons and capable of using armed force.
-
B.
armedGroupInvolved
Indicates that an armed group participated in, contributed to, or was otherwise involved in the referenced event or action.
-
C.
peopleGroupWithin
Indicates that one group of people is geographically or organizationally contained within another group of people.
-
D.
UNPresence
Indicates the presence, involvement, or deployment of United Nations personnel, missions, or operations in relation to an entity or location.
-
E.
groupTogether
Indicates that multiple entities are treated or arranged as a single collective unit or set.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.