Triple

T9741844
Position Surface form Disambiguated ID Type / Status
Subject Elder Cunningham E236202 entity
Predicate missionAssignmentLocation P26261 FINISHED
Object Uganda E10768 NE FINISHED

How this triple was built (3 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: Uganda | Statement: [Elder Cunningham, missionAssignmentLocation, Uganda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uganda
Context triple: [Elder Cunningham, missionAssignmentLocation, Uganda]
  • A. Uganda chosen
    Uganda is a landlocked country in East Africa known for its diverse landscapes, abundant wildlife, and location along the equator.
  • B. Uganda and Democratic Republic of the Congo
    Uganda and the Democratic Republic of the Congo are neighboring Central-East African countries that share extensive natural frontiers, rich biodiversity, and significant cross-border cultural and economic ties.
  • C. Oluganda
    Oluganda is the endonym for Luganda, a major Bantu language spoken primarily by the Baganda people in central Uganda.
  • D. Nzera
    Nzera is a settlement located within Tanzania’s Geita Region in East Africa.
  • E. Kenya
    Kenya is an East African country known for its diverse wildlife, scenic landscapes from savannas to highlands, and a coastline along the Indian Ocean.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: missionAssignmentLocation
Context triple: [Elder Cunningham, missionAssignmentLocation, Uganda]
  • A. missionAssociation
    Indicates a relationship where an entity is connected to, involved in, or associated with a particular mission or organized endeavor.
  • B. possiblePlaceOfMission chosen
    Indicates that a location is a plausible or candidate site where a mission may have taken place or could take place.
  • C. missionOrder
    Indicates that one mission is ordered, sequenced, or prioritized relative to another within an overall mission plan.
  • D. armyAssignment
    Indicates that an entity is assigned to serve in or with a particular army or military unit.
  • E. crewLocation
    Indicates that a crew is located at, assigned to, or present in a specific place or environment.
  • F. None of above.

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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2af3e48190b83a442cd0e84062 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1aff2339c8190b164b13b54a40cec completed April 5, 2026, 12:42 a.m.
PD Predicate disambiguation batch_69cd03cc128c81908b84ef224f858b4e completed April 1, 2026, 11:38 a.m.
Created at: March 30, 2026, 8:23 p.m.