Triple

T7020940
Position Surface form Disambiguated ID Type / Status
Subject Soviet Union national football team E162821 entity
Predicate fifaCode P6278 FINISHED
Object URS
URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
 E636951 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: URS | Statement: [Soviet Union national football team, fifaCode, URS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: URS
Context triple: [Soviet Union national football team, fifaCode, URS]
  • A. URU
    URU is the FIFA country code used to represent the Uruguay national football team in international competitions and rankings.
  • B. Ur
    Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
  • C. URM
    URM is the National Rail station code for Urmston railway station in Greater Manchester, England.
  • D. URW
    URW is the stock ticker symbol for Unibail-Rodamco-Westfield, a major European commercial real estate company specializing in shopping centers and mixed-use properties.
  • E. UER
    UER is the French abbreviation for the European Broadcasting Union, an alliance of public service media organizations across Europe and beyond.
  • 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: URS
Triple: [Soviet Union national football team, fifaCode, URS]
Generated description
URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: URS
Target entity description: URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
  • A. URU
    URU is the FIFA country code used to represent the Uruguay national football team in international competitions and rankings.
  • B. Ur
    Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
  • C. URM
    URM is the National Rail station code for Urmston railway station in Greater Manchester, England.
  • D. URW
    URW is the stock ticker symbol for Unibail-Rodamco-Westfield, a major European commercial real estate company specializing in shopping centers and mixed-use properties.
  • E. UER
    UER is the French abbreviation for the European Broadcasting Union, an alliance of public service media organizations across Europe and beyond.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1eab4d4819083230974c361cc74 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7757686bc819089f6749e43bbb89d completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c778f1b3508190b58bbec8877a6052 completed March 28, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_69c779cad0188190a840be47d2af5b2b completed March 28, 2026, 6:48 a.m.
Created at: March 27, 2026, 2:35 p.m.