Triple

T8701371
Position Surface form Disambiguated ID Type / Status
Subject Uganda Peoples' Defence Forces E206539 entity
Predicate abbreviation P43 FINISHED
Object UPDF
UPDF is the national military force of Uganda, responsible for the country’s defense and security operations.
 E751794 NE FINISHED

How this triple was built (4 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: UPDF | Statement: [Uganda Peoples' Defence Forces, abbreviation, UPDF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UPDF
Context triple: [Uganda Peoples' Defence Forces, abbreviation, UPDF]
  • A. PDF/E
    PDF/E is an ISO-standardized subset of the PDF format designed specifically for reliable creation, exchange, and archiving of engineering and technical documents, such as CAD and geospatial data.
  • B. Pades
    Pades is a village in northwestern Greece located in the mountainous region near Mount Smolikas.
  • C. FDF
    FDF is the IATA airport code for Martinique Aimé Césaire International Airport, the main air gateway to the Caribbean island of Martinique.
  • D. UFP
    UFP is the common abbreviation for the United Federation of Planets, the interstellar federal republic central to the Star Trek universe.
  • E. PDF/VT
    PDF/VT is an ISO-standardized subset of the PDF format designed specifically for variable and transactional printing, enabling efficient, high-volume personalized document production.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UPDF
Triple: [Uganda Peoples' Defence Forces, abbreviation, UPDF]
Generated description
UPDF is the national military force of Uganda, responsible for the country’s defense and security operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UPDF
Target entity description: UPDF is the national military force of Uganda, responsible for the country’s defense and security operations.
  • A. PDF/E
    PDF/E is an ISO-standardized subset of the PDF format designed specifically for reliable creation, exchange, and archiving of engineering and technical documents, such as CAD and geospatial data.
  • B. Pades
    Pades is a village in northwestern Greece located in the mountainous region near Mount Smolikas.
  • C. FDF
    FDF is the IATA airport code for Martinique Aimé Césaire International Airport, the main air gateway to the Caribbean island of Martinique.
  • D. UFP
    UFP is the common abbreviation for the United Federation of Planets, the interstellar federal republic central to the Star Trek universe.
  • E. PDF/VT
    PDF/VT is an ISO-standardized subset of the PDF format designed specifically for variable and transactional printing, enabling efficient, high-volume personalized document production.
  • 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_69cc58b38cf88190bfdcbac9c340cb96 completed March 31, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef41657588190ba6f79c27658dd1b completed April 2, 2026, 10:56 p.m.
NEDg Description generation batch_69cef8292f4c81909098f1205b6b5595 completed April 2, 2026, 11:13 p.m.
NED2 Entity disambiguation (via description) batch_69cef8c6e0c08190b1810f00cb4cc304 completed April 2, 2026, 11:16 p.m.
Created at: March 30, 2026, 6:34 p.m.