Triple

T16891933
Position Surface form Disambiguated ID Type / Status
Subject Soviet Union topped overall medal table E424193 entity
Predicate countryCode P208 FINISHED
Object URS E636951 NE FINISHED

How this triple was built (2 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 topped overall medal table, countryCode, URS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: URS
Context triple: [Soviet Union topped overall medal table, countryCode, URS]
  • A. URS chosen
    URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
  • B. UR
    UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
  • C. UR
    UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
  • D. UR
    UR (Utbildningsradion) is Sweden’s public educational broadcasting company, producing and distributing educational radio, TV, and digital content.
  • E. URU
    URU is the FIFA country code used to represent the Uruguay national football team in international competitions and rankings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc5a5308190937ebd05356bd91d completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2c414b081909b98e40ee9a176e2 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.