Triple

T330214
Position Surface form Disambiguated ID Type / Status
Subject Saudi Arabia E6608 entity
Predicate ISO3166-1Alpha3 P189 FINISHED
Object SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
 E42284 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: SAU | Statement: [Saudi Arabia, ISO3166-1Alpha3, SAU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SAU
Context triple: [Saudi Arabia, ISO3166-1Alpha3, SAU]
  • A. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • B. Sais
    Sais was an ancient Egyptian city in the western Nile Delta that served as a significant religious and political center, especially prominent during the 26th (Saite) Dynasty.
  • C. ASALE
    ASALE is the acronym for the Association of Academies of the Spanish Language, the international body that coordinates the work of Spanish language academies across the Spanish-speaking world.
  • D. SA
    SA is a key 3GPP technical specification group responsible for defining the overall system architecture and service capabilities of mobile telecommunications networks.
  • E. SA
    The SA (Sturmabteilung) was the Nazi Party’s paramilitary organization known for its role in Adolf Hitler’s rise to power through intimidation, street violence, and mass rallies in early 20th-century Germany.
  • 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: SAU
Triple: [Saudi Arabia, ISO3166-1Alpha3, SAU]
Generated description
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SAU
Target entity description: SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • A. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • B. Sais
    Sais was an ancient Egyptian city in the western Nile Delta that served as a significant religious and political center, especially prominent during the 26th (Saite) Dynasty.
  • C. ASALE
    ASALE is the acronym for the Association of Academies of the Spanish Language, the international body that coordinates the work of Spanish language academies across the Spanish-speaking world.
  • D. SA
    SA is a key 3GPP technical specification group responsible for defining the overall system architecture and service capabilities of mobile telecommunications networks.
  • E. SA
    The SA (Sturmabteilung) was the Nazi Party’s paramilitary organization known for its role in Adolf Hitler’s rise to power through intimidation, street violence, and mass rallies in early 20th-century Germany.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eaaeb64881909c7ab9bca3378e2b completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cff160788190a49faad3c011965e completed March 1, 2026, 5:34 a.m.
NEDg Description generation batch_69a3d0dff47881909b2dc7002b16e1cd completed March 1, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69a3d15c60d4819091d615246267a2a7 completed March 1, 2026, 5:40 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.