Triple

T648507
Position Surface form Disambiguated ID Type / Status
Subject Somalia E11293 entity
Predicate ISO3166-1Alpha2 P189 FINISHED
Object SO
SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
 E81185 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: SO | Statement: [Somalia, ISO3166-1Alpha2, SO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SO
Context triple: [Somalia, ISO3166-1Alpha2, SO]
  • A. 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.
  • B. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • C. Sol
    Sol is the Sun, the G-type main-sequence star at the center of our solar system that provides Earth with light and heat.
  • D. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • E. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • 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: SO
Triple: [Somalia, ISO3166-1Alpha2, SO]
Generated description
SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SO
Target entity description: SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • A. 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.
  • B. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • C. Sol
    Sol is the Sun, the G-type main-sequence star at the center of our solar system that provides Earth with light and heat.
  • D. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • E. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f308f34819094ba28cfc786051e completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58039191481908b11bfadb36f0c13 completed March 2, 2026, 12:19 p.m.
NEDg Description generation batch_69a5826e8b4081908523f552045e4e91 completed March 2, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_69a583113320819080feea6882d3bff5 completed March 2, 2026, 12:31 p.m.
Created at: March 1, 2026, 7:36 p.m.