Triple

T3130970
Position Surface form Disambiguated ID Type / Status
Subject Servando Carrasco E65411 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Orlando City SC E62773 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: Orlando City SC | Statement: [Servando Carrasco, memberOfSportsTeam, Orlando City SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orlando City SC
Context triple: [Servando Carrasco, memberOfSportsTeam, Orlando City SC]
  • A. Orlando City SC chosen
    Orlando City SC is a professional soccer club based in Orlando, Florida, competing in Major League Soccer.
  • B. Miami FC
    Miami FC is a professional soccer club based in Miami, Florida, known for competing in various U.S. lower-division leagues and cup competitions.
  • C. Inter Miami CF
    Inter Miami CF is a professional Major League Soccer club based in the Miami metropolitan area and co-owned by former footballer David Beckham.
  • D. Columbus Crew
    Columbus Crew is a Major League Soccer club based in Columbus, Ohio, known as one of the league’s original teams and a multiple-time MLS Cup champion.
  • E. Atlanta United FC
    Atlanta United FC is a professional Major League Soccer club based in Atlanta, Georgia, known for its large fanbase, strong on-field performances, and record-breaking attendance.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada54b0e688190b691771f17f4c721 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224d860dc819095a864619bc29411 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:04 p.m.