Triple

T2195446
Position Surface form Disambiguated ID Type / Status
Subject Carlos Ruiz E49960 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Olimpia E49962 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: Olimpia | Statement: [Carlos Ruiz, memberOfSportsTeam, Olimpia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olimpia
Context triple: [Carlos Ruiz, memberOfSportsTeam, Olimpia]
  • A. Olimpia chosen
    Olimpia is a prominent Paraguayan football club based in Asunción, known for its historic domestic success and Copa Libertadores titles.
  • B. Olympic Capital
    Olympic Capital is the nickname of Lausanne, Switzerland, reflecting its role as the long-time headquarters of the International Olympic Committee and a global hub for Olympic sport governance.
  • C. Olympia, Greece
    Olympia, Greece is an ancient sanctuary in the Peloponnese renowned as the original site of the Olympic Games in classical antiquity.
  • D. Albanopolis
    Albanopolis is a historically obscure city or town, traditionally identified in Christian tradition as the place where the Apostle Bartholomew was martyred.
  • E. Orel
    Orel is a male given name most famously associated with former Major League Baseball pitcher Orel Hershiser.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf764e348190896af2aeb5520038 completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5db5c364819099e3db36c312437a completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:46 p.m.