Triple

T11390076
Position Surface form Disambiguated ID Type / Status
Subject Kivu conflict E269812 entity
Predicate involves P1256 FINISHED
Object M23 movement E468942 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: M23 movement | Statement: [Kivu conflict, involves, M23 movement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M23 movement
Context triple: [Kivu conflict, involves, M23 movement]
  • A. Mido
    Mido is a spelling variant of the name Medo, often used as a given name or nickname in various cultures.
  • B. Ten Hours Movement
    The Ten Hours Movement was a 19th-century British social reform campaign that sought to limit the working day in factories, especially for women and children, to ten hours.
  • C. M23 SBS
    M23 SBS is a Select Bus Service route in Manhattan that runs crosstown along 23rd Street, providing faster, limited-stop service with off-board fare payment.
  • D. M23
    M23 is a major motorway in South East England connecting London to Gatwick Airport and the Brighton area via the M25 and A23.
  • E. M23 chosen
    M23 is a Congolese rebel militia group active in eastern Democratic Republic of the Congo, known for its insurgency, human rights abuses, and clashes with government and UN forces.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d800160a1c81909d115bf89fe54a49 completed April 9, 2026, 7:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c672da48190affacc0f19ef0c7a completed April 20, 2026, 2:16 a.m.
Created at: April 8, 2026, 9:34 p.m.