Triple

T1082383
Position Surface form Disambiguated ID Type / Status
Subject Sesotho E23974 entity
Predicate hasISO639-3Code P189 FINISHED
Object sot
sot is the ISO 639-3 language code for Sesotho, a Southern Bantu language spoken primarily in Lesotho and South Africa.
 E125172 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: sot | Statement: [Sesotho, hasISO639-3Code, sot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: sot
Context triple: [Sesotho, hasISO639-3Code, sot]
  • A. SO
    SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • B. SO
    SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
  • C. SO
    SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
  • D. SOB
    SOB is the abbreviation for the Special Operations Bureau, a specialized law enforcement or military unit responsible for handling high-risk and complex operations.
  • E. SoR
    SoR is the commonly used abbreviation for the Society of Rheology, a professional organization dedicated to the study of the flow and deformation of matter.
  • 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: sot
Triple: [Sesotho, hasISO639-3Code, sot]
Generated description
sot is the ISO 639-3 language code for Sesotho, a Southern Bantu language spoken primarily in Lesotho and South Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: sot
Target entity description: sot is the ISO 639-3 language code for Sesotho, a Southern Bantu language spoken primarily in Lesotho and South Africa.
  • A. SO
    SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • B. SO
    SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
  • C. SO
    SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
  • D. SOB
    SOB is the abbreviation for the Special Operations Bureau, a specialized law enforcement or military unit responsible for handling high-risk and complex operations.
  • E. SoR
    SoR is the commonly used abbreviation for the Society of Rheology, a professional organization dedicated to the study of the flow and deformation of matter.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b95d35888190a20593a278175df7 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42affbac8190b6b16a1d726d0d35 completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac44a7a69c8190af5289f6e46d571a completed March 7, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_69ac451af1508190a55c037328b41931 completed March 7, 2026, 3:32 p.m.
Created at: March 1, 2026, 7:42 p.m.