Triple

T11155611
Position Surface form Disambiguated ID Type / Status
Subject UNAVEM II E263897 entity
Predicate successor P78 FINISHED
Object UNAVEM III E265800 NE 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: UNAVEM III | Statement: [UNAVEM II, successor, UNAVEM III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNAVEM III
Context triple: [UNAVEM II, successor, UNAVEM III]
  • A. UNAVEM III chosen
    UNAVEM III was a United Nations peacekeeping operation in Angola tasked with overseeing the implementation of peace agreements and supporting the transition to stability after years of civil war.
  • B. UNAVEM II
    UNAVEM II was a United Nations peacekeeping operation deployed in Angola in the early 1990s to monitor and support the implementation of ceasefire and political agreements during the Angolan Civil War.
  • C. UNAVEM I
    UNAVEM I was the first United Nations peacekeeping mission in Angola, established to monitor the withdrawal of foreign troops and support the initial stages of the Angolan peace process.
  • D. Patria
    Patria is a Finnish defense industry company known for developing and manufacturing military vehicles, systems, and related defense solutions.
  • E. Patria
    Patria was a passenger ship best known for its tragic 1940 sinking in Haifa harbor, which killed hundreds of Jewish refugees during an attempt to prevent their deportation by British authorities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8741cd48190b7cc29c6b6bc54ff completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4836718a08190b8eae87ce91bbfa0 completed April 19, 2026, 7:25 a.m.
Created at: April 8, 2026, 9:28 p.m.