Triple

T11327581
Position Surface form Disambiguated ID Type / Status
Subject Andrew Mlangeni E268260 entity
Predicate roleInUmkhontoWeSizwe P9463 FINISHED
Object sabotage operations organizer 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: sabotage operations organizer | Statement: [Andrew Mlangeni, roleInUmkhontoWeSizwe, sabotage operations organizer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInUmkhontoWeSizwe
Context triple: [Andrew Mlangeni, roleInUmkhontoWeSizwe, sabotage operations organizer]
  • A. militaryRole chosen
    Indicates the specific function, position, or duty an entity holds within a military organization or context.
  • B. roleInMissions
    Indicates the specific function, duty, or position an entity holds within one or more missions.
  • C. roleDuringBlackHawkWar
    Indicates the specific role, position, or function an entity held during the Black Hawk War.
  • D. roleInClub
    Indicates that an entity holds a specific position or function within a particular club.
  • E. roleInCommandStructure
    Indicates that one entity holds a specific position or function within the hierarchical command structure of another entity or organization.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e2253881909518cad0f12ef612 completed April 9, 2026, 6:03 p.m.
PD Predicate disambiguation batch_69d787afe5a48190b8af1a3e19529641 completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.