Triple

T12039184
Position Surface form Disambiguated ID Type / Status
Subject Kei Kamara E286616 entity
Predicate playedFor P2170 FINISHED
Object San Jose Earthquakes E22314 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: San Jose Earthquakes | Statement: [Kei Kamara, playedFor, San Jose Earthquakes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Jose Earthquakes
Context triple: [Kei Kamara, playedFor, San Jose Earthquakes]
  • A. San Jose Earthquakes chosen
    The San Jose Earthquakes are a professional Major League Soccer club based in San Jose, California.
  • B. Los Angeles Galaxy
    Los Angeles Galaxy is a professional Major League Soccer club based in the Los Angeles area and one of the league’s most successful and high-profile teams.
  • C. San Diego FC
    San Diego FC is a professional soccer club based in San Diego, California, set to compete in Major League Soccer.
  • D. Los Angeles FC
    Los Angeles FC is a Major League Soccer club based in Los Angeles, known for its passionate fanbase, attacking style of play, and rivalry with the LA Galaxy.
  • E. Sacramento Republic FC
    Sacramento Republic FC is a professional soccer club based in Sacramento, California, that competes in the USL Championship, the second tier of the American soccer league system.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040a8be881908f4841145a7b4e86 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f64826a481908a09ca1c91c4e04f completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.