Triple

T4719941
Position Surface form Disambiguated ID Type / Status
Subject General Secretariat of the Andean Community E104738 entity
Predicate abbreviation P43 FINISHED
Object SG-CAN
SG-CAN is the executive body of the Andean Community responsible for coordinating and implementing the regional bloc’s policies and integration initiatives.
E463041 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: SG-CAN | Statement: [General Secretariat of the Andean Community, abbreviation, SG-CAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SG-CAN
Context triple: [General Secretariat of the Andean Community, abbreviation, SG-CAN]
  • A. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • B. NETSGC
    NETSGC is the abbreviated name and competitive brand identity of Nets Gaming Crew, the NBA 2K League affiliate of the Brooklyn Nets.
  • C. SECG
    SECG (Standards for Efficient Cryptography Group) is an industry consortium that develops and promotes standards for efficient public-key cryptography, particularly elliptic curve cryptography.
  • D. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • E. SRCCL
    SRCCL is a major Intergovernmental Panel on Climate Change (IPCC) assessment focused on the interactions between climate change, land use, and sustainable land management.
  • 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: SG-CAN
Triple: [General Secretariat of the Andean Community, abbreviation, SG-CAN]
Generated description
SG-CAN is the executive body of the Andean Community responsible for coordinating and implementing the regional bloc’s policies and integration initiatives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SG-CAN
Target entity description: SG-CAN is the executive body of the Andean Community responsible for coordinating and implementing the regional bloc’s policies and integration initiatives.
  • A. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • B. NETSGC
    NETSGC is the abbreviated name and competitive brand identity of Nets Gaming Crew, the NBA 2K League affiliate of the Brooklyn Nets.
  • C. SECG
    SECG (Standards for Efficient Cryptography Group) is an industry consortium that develops and promotes standards for efficient public-key cryptography, particularly elliptic curve cryptography.
  • D. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • E. SRCCL
    SRCCL is a major Intergovernmental Panel on Climate Change (IPCC) assessment focused on the interactions between climate change, land use, and sustainable land management.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6428e9e081908ce4041183cad13b completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be108fe3b08190b3d306ca4b39860d completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be1182fee48190a01bd167a4adb21b completed March 21, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69be11e0922481909563dca0422f10d1 completed March 21, 2026, 3:34 a.m.
Created at: March 20, 2026, 1:18 p.m.