Triple

T8702484
Position Surface form Disambiguated ID Type / Status
Subject EUTM Somalia E206563 entity
Predicate previousTrainingLocation P84634 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: [EUTM Somalia, previousTrainingLocation, Uganda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uganda
Context triple: [EUTM Somalia, previousTrainingLocation, 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: previousTrainingLocation
Context triple: [EUTM Somalia, previousTrainingLocation, Uganda]
  • A. previousLocationName
    Indicates that one entity specifies the name of a location where another entity was situated or occurred before its current location.
  • B. trainingLocationType
    Indicates the type or category of place where a training activity occurs.
  • C. previousMeetingPlace
    Indicates the location where two or more entities met on a prior occasion.
  • D. trainingFacilityLocation
    Indicates the place or site where a training facility is situated or operates.
  • E. previousLocationTime
    Indicates the specific time at which an entity was located at its immediately preceding location before its current one.
  • F. None of above. chosen

Provenance (5 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58b5b44081909e7b33c70fac236d completed March 31, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3332a008190bbeba37bcfc355cb completed April 2, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69cc456bda508190a9aa0fb92760739e completed March 31, 2026, 10:06 p.m.
PDg Predicate description generation batch_69cc582412f48190ae819965bfb0e75d completed March 31, 2026, 11:26 p.m.
Created at: March 30, 2026, 6:34 p.m.