Triple

T4693152
Position Surface form Disambiguated ID Type / Status
Subject UGT Portugal E104080 entity
Predicate shortName P43 FINISHED
Object UGT
UGT is a major Portuguese trade union confederation representing workers across multiple sectors.
 E464054 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: UGT | Statement: [UGT Portugal, shortName, UGT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UGT
Context triple: [UGT Portugal, shortName, UGT]
  • A. UGT
    UGT is a major Spanish trade union confederation representing workers across multiple sectors and advocating for labor rights and social justice.
  • B. UG
    UG is the ISO 3166-1 alpha-2 country code for Uganda, used in international standards and country abbreviations.
  • C. UGKO
    UGKO is the ICAO airport code for David the Builder Kutaisi International Airport in Kutaisi, Georgia.
  • D. MGGT
    MGGT is the ICAO airport code for La Aurora International Airport, the main international gateway serving Guatemala City, Guatemala.
  • E. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • 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: UGT
Triple: [UGT Portugal, shortName, UGT]
Generated description
UGT is a major Portuguese trade union confederation representing workers across multiple sectors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UGT
Target entity description: UGT is a major Portuguese trade union confederation representing workers across multiple sectors.
  • A. UGT
    UGT is a major Spanish trade union confederation representing workers across multiple sectors and advocating for labor rights and social justice.
  • B. UG
    UG is the ISO 3166-1 alpha-2 country code for Uganda, used in international standards and country abbreviations.
  • C. UGKO
    UGKO is the ICAO airport code for David the Builder Kutaisi International Airport in Kutaisi, Georgia.
  • D. MGGT
    MGGT is the ICAO airport code for La Aurora International Airport, the main international gateway serving Guatemala City, Guatemala.
  • E. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • 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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd639dc94c8190bc033111a4199f40 completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be105e09488190b4b5b54e2dcbfa09 completed March 21, 2026, 3:28 a.m.
NEDg Description generation batch_69be110cef808190b74e64eb0e28d53e completed March 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69be11691c448190ab09b3d055c1a1a8 completed March 21, 2026, 3:32 a.m.
Created at: March 20, 2026, 1:16 p.m.