Triple

T1346309
Position Surface form Disambiguated ID Type / Status
Subject Uruguay E28578 entity
Predicate ISO3166-1Alpha3Code P189 FINISHED
Object URY
URY is the three-letter ISO 3166-1 alpha-3 country code assigned to Uruguay.
 E154251 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: URY | Statement: [Uruguay, ISO3166-1Alpha3Code, URY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: URY
Context triple: [Uruguay, ISO3166-1Alpha3Code, URY]
  • A. Ur
    Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
  • B. ute
    Ute is a Numic language of the Uto-Aztecan family traditionally spoken by the Ute people of the western United States.
  • C. URA
    URA (Universities Research Association) is a consortium of research universities that collaborates to advance high-energy physics and other scientific research through managing and supporting major research facilities and projects.
  • D. UAL
    UAL is the ICAO airline designator used to identify United Airlines in aviation operations and air traffic control.
  • E. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in 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: URY
Triple: [Uruguay, ISO3166-1Alpha3Code, URY]
Generated description
URY is the three-letter ISO 3166-1 alpha-3 country code assigned to Uruguay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: URY
Target entity description: URY is the three-letter ISO 3166-1 alpha-3 country code assigned to Uruguay.
  • A. Ur
    Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
  • B. ute
    Ute is a Numic language of the Uto-Aztecan family traditionally spoken by the Ute people of the western United States.
  • C. URA
    URA (Universities Research Association) is a consortium of research universities that collaborates to advance high-energy physics and other scientific research through managing and supporting major research facilities and projects.
  • D. UAL
    UAL is the ICAO airline designator used to identify United Airlines in aviation operations and air traffic control.
  • E. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23e84188190b0395c57dd45b62a completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc639201c81908ed9c9ac37cd358f completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc71a3e808190aecbb57a64f39b6b completed March 8, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69acc88e4ec08190945b366524b83088 completed March 8, 2026, 12:53 a.m.
Created at: March 1, 2026, 7:56 p.m.