Triple

T967308
Position Surface form Disambiguated ID Type / Status
Subject MONUSCO E20864 entity
Predicate hasPeacekeepersFrom P13841 FINISHED
Object multiple United Nations member states 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: multiple United Nations member states | Statement: [MONUSCO, hasPeacekeepersFrom, multiple United Nations member states]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPeacekeepersFrom
Context triple: [MONUSCO, hasPeacekeepersFrom, multiple United Nations member states]
  • A. hasPeacekeepingRole
    Indicates that an entity holds a responsibility or function related to maintaining or enforcing peace, often in a conflict or post-conflict context.
  • B. UNMission chosen
    Indicates that an entity is a United Nations peacekeeping or political mission operating in a specific area or context.
  • C. hasMilitaryPresence
    Indicates that a military force is present in, stationed at, or operating within a particular location or entity.
  • D. receivesMilitaryAidFrom
    Indicates that one entity obtains military assistance, such as equipment, training, or funding, from another entity.
  • E. isNATOAllyOf
    Indicates that one entity is a member of NATO and has a formal alliance relationship with the other entity within the NATO framework.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b43549008190a4d65efdc3bda520 completed March 1, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69a4b2a42c1481908d940cbe0aefdd3b completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.