Triple

T1943882
Position Surface form Disambiguated ID Type / Status
Subject ICANN Supporting Organizations E42017 entity
Predicate abbreviation P43 FINISHED
Object SOs
SOs are the Supporting Organizations within ICANN that develop and recommend global Internet policy in their respective areas of responsibility.
 E219647 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: SOs | Statement: [ICANN Supporting Organizations, abbreviation, SOs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SOs
Context triple: [ICANN Supporting Organizations, abbreviation, SOs]
  • 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. sot
    sot is the ISO 639-3 language code for Sesotho, a Southern Bantu language spoken primarily in Lesotho and South Africa.
  • 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: SOs
Triple: [ICANN Supporting Organizations, abbreviation, SOs]
Generated description
SOs are the Supporting Organizations within ICANN that develop and recommend global Internet policy in their respective areas of responsibility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SOs
Target entity description: SOs are the Supporting Organizations within ICANN that develop and recommend global Internet policy in their respective areas of responsibility.
  • 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. sot
    sot is the ISO 639-3 language code for Sesotho, a Southern Bantu language spoken primarily in Lesotho and South Africa.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb2fe04688190aa8461ba090c93a0 completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb9b594819096747b580ec18fee completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc3d37e4819082673b84eb5a19f2 completed March 8, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69adfd7ef5588190ab85f3981466d1e0 completed March 8, 2026, 10:51 p.m.
Created at: March 4, 2026, 7:36 p.m.