Triple

T82500
Position Surface form Disambiguated ID Type / Status
Subject El Salvador E1657 entity
Predicate ISO3166-1Alpha2 P189 FINISHED
Object SV
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
 E9640 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: SV | Statement: [El Salvador, ISO3166-1Alpha2, SV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SV
Context triple: [El Salvador, ISO3166-1Alpha2, SV]
  • A. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • B. S
    S is the distinctive middle initial of U.S. President Harry S. Truman, famously not standing for any specific name but honoring both of his grandfathers.
  • C. SS
    The SS was a paramilitary organization of Nazi Germany that became one of the principal instruments of terror, repression, and mass murder, including the systematic genocide of Jews and other targeted groups during World War II.
  • D. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • E. Shuar
    Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
  • 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: SV
Triple: [El Salvador, ISO3166-1Alpha2, SV]
Generated description
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SV
Target entity description: SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • A. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • B. S
    S is the distinctive middle initial of U.S. President Harry S. Truman, famously not standing for any specific name but honoring both of his grandfathers.
  • C. SS
    The SS was a paramilitary organization of Nazi Germany that became one of the principal instruments of terror, repression, and mass murder, including the systematic genocide of Jews and other targeted groups during World War II.
  • D. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • E. Shuar
    Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f367b208190a69f5b76d6ae0496 completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26c1b81a88190ba473b28dd88fdb8 completed Feb. 28, 2026, 4:16 a.m.
NEDg Description generation batch_69a26d3eee308190a591a8b71fc3aea9 completed Feb. 28, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_69a26d9fb7248190b358c6f890eac0e9 completed Feb. 28, 2026, 4:22 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.