Triple

T28811581
Position Surface form Disambiguated ID Type / Status
Subject Secessionist State of Katanga E727526 entity
Predicate subjectOfMilitaryOperation P178796 FINISHED
Object United Nations Operation in the Congo 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: United Nations Operation in the Congo | Statement: [Secessionist State of Katanga, subjectOfMilitaryOperation, United Nations Operation in the Congo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectOfMilitaryOperation
Context triple: [Secessionist State of Katanga, subjectOfMilitaryOperation, United Nations Operation in the Congo]
  • A. militaryOperationName
    Indicates the specific named military operation associated with an action, event, or entity.
  • B. coordinatesMilitaryOperationsOf
    Indicates having authority to plan, direct, and manage the military operations carried out by another entity.
  • C. offensiveOperationBy
    Indicates that an offensive military or strategic operation is carried out by a specified actor or entity.
  • D. SovietOperation
    Indicates that an operation, mission, or organized activity is conducted by, on behalf of, or under the authority of the Soviet Union or its institutions.
  • E. militaryObjectiveOf
    Indicates that something serves as a military target, goal, or purpose specifically associated with a given actor or force.
  • 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_69f0319c38948190bca746ad60fd25ba completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f71422adac8190a5ceb32dcf820833 completed May 3, 2026, 9:23 a.m.
PD Predicate disambiguation batch_69f712764d2c819081b64b27e5de4a13 completed May 3, 2026, 9:16 a.m.
PDg Predicate description generation batch_69f71421e8d08190807ccfb15d0f0ddb completed May 3, 2026, 9:23 a.m.
Created at: April 28, 2026, 6:31 a.m.