Triple
T37184244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inter-Congolese Dialogue |
E921279
|
entity |
| Predicate | includedPartyType |
P6384
|
FINISHED |
| Object | Congolese government representatives |
—
|
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: Congolese government representatives | Statement: [Inter-Congolese Dialogue, includedPartyType, Congolese government representatives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedPartyType Context triple: [Inter-Congolese Dialogue, includedPartyType, Congolese government representatives]
-
A.
appliesToPartyType
Indicates that a rule, condition, or attribute is relevant to and affects a specific type or category of party (such as an individual, organization, or group).
-
B.
participantType
chosen
Indicates the specific role or category that a participant has within a given event, activity, or relationship.
-
C.
includedMembersOf
Indicates that certain members or elements are contained within, or form part of, a specified group or collection.
-
D.
participationIncludes
Indicates that a broader participation instance encompasses or contains a more specific participation instance as part of it.
-
E.
connectsTypeOfParties
Indicates a relationship that specifies which types of parties are linked or associated with each other.
- 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_69f76ea250bc819083f28d81de25cd0c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.