Triple

T11058821
Position Surface form Disambiguated ID Type / Status
Subject MPLA E261450 entity
Predicate hasYouthWing P1088 FINISHED
Object JMPLA
JMPLA is the youth wing of Angola’s ruling party MPLA, engaging and mobilizing young people in the country’s political and social life.
 E902770 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: JMPLA | Statement: [MPLA, hasYouthWing, JMPLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JMPLA
Context triple: [MPLA, hasYouthWing, JMPLA]
  • A. SMJP
    SMJP is the ICAO airport code for Johan Adolf Pengel International Airport, the main international gateway to Suriname.
  • B. JM
    JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
  • C. JMD
    JMD is the official currency code for the Jamaican dollar, the legal tender used in Jamaica.
  • D. JMUA
    JMUA is a U.S. Department of Defense unit award recognizing joint military organizations for exceptionally meritorious conduct in the performance of outstanding service.
  • E. JMB
    JMB is the frequent-flyer mileage program of Japan Airlines, allowing members to earn and redeem miles for flights and related travel services.
  • 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: JMPLA
Triple: [MPLA, hasYouthWing, JMPLA]
Generated description
JMPLA is the youth wing of Angola’s ruling party MPLA, engaging and mobilizing young people in the country’s political and social life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JMPLA
Target entity description: JMPLA is the youth wing of Angola’s ruling party MPLA, engaging and mobilizing young people in the country’s political and social life.
  • A. SMJP
    SMJP is the ICAO airport code for Johan Adolf Pengel International Airport, the main international gateway to Suriname.
  • B. JM
    JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
  • C. JMD
    JMD is the official currency code for the Jamaican dollar, the legal tender used in Jamaica.
  • D. JMUA
    JMUA is a U.S. Department of Defense unit award recognizing joint military organizations for exceptionally meritorious conduct in the performance of outstanding service.
  • E. JMB
    JMB is the frequent-flyer mileage program of Japan Airlines, allowing members to earn and redeem miles for flights and related travel services.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a4f3f88190a29710f64cef9d25 completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c87ab0308190a6a6ada1708f0ec2 completed April 18, 2026, 6:07 p.m.
NEDg Description generation batch_69e3cefc00148190a1850dc6e31523c3 completed April 18, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69e3d014a644819092c76aa02b573ca9 completed April 18, 2026, 6:40 p.m.
Created at: April 8, 2026, 9:26 p.m.