Triple

T16355861
Position Surface form Disambiguated ID Type / Status
Subject Greg Vanney E397176 entity
Predicate playedFor P2170 FINISHED
Object Colorado Rapids E87521 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: Colorado Rapids | Statement: [Greg Vanney, playedFor, Colorado Rapids]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colorado Rapids
Context triple: [Greg Vanney, playedFor, Colorado Rapids]
  • A. Colorado Rapids chosen
    The Colorado Rapids are a professional Major League Soccer team based in the Denver metropolitan area.
  • B. Colorado Rapids 2
    Colorado Rapids 2 is the reserve team of Major League Soccer club Colorado Rapids, competing in MLS NEXT Pro as a developmental side for young and emerging players.
  • C. Minnesota United FC
    Minnesota United FC is a professional soccer club based in Minnesota that now competes in Major League Soccer and is known for its "Loons" nickname and strong supporter culture.
  • D. St. Louis City SC
    St. Louis City SC is a professional soccer club competing in Major League Soccer and representing the city of St. Louis.
  • E. FC Dallas
    FC Dallas is a professional Major League Soccer club based in the Dallas–Fort Worth metroplex.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2face3a54819099418edd0eecc963 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00355a7fb481908ed33a86c880fd49 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:07 a.m.