Triple

T1284255
Position Surface form Disambiguated ID Type / Status
Subject Guillermo Ramírez E27397 entity
Predicate memberOfSportsTeam P330 FINISHED
Object CD Olimpia E146910 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: CD Olimpia | Statement: [Guillermo Ramírez, memberOfSportsTeam, CD Olimpia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CD Olimpia
Context triple: [Guillermo Ramírez, memberOfSportsTeam, CD Olimpia]
  • A. CD Olimpia chosen
    CD Olimpia is one of Honduras's most successful and popular football clubs, based in Tegucigalpa and renowned for its numerous domestic league titles and regional achievements.
  • B. Rondo
    Rondo is a surname most prominently associated with Rajon Rondo, an American professional basketball player and NBA champion known for his playmaking and defensive skills.
  • C. Olimpia
    Olimpia is a prominent Paraguayan football club based in Asunción, known for its historic domestic success and Copa Libertadores titles.
  • D. Pobeda
    Pobeda is a Russian low-cost airline and a subsidiary of Aeroflot, operating domestic and international flights primarily from Moscow.
  • E. Odeo
    Odeo was an early podcasting startup co-founded by the team behind Obvious Corporation that played a key role in the creation of Twitter.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b599ac819096fca9ada294d939 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacba08f881909230c2d9459d4bc4 completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:50 p.m.