Triple

T2842591
Position Surface form Disambiguated ID Type / Status
Subject Michelle Marciniak E62503 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Portland Power E147622 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: Portland Power | Statement: [Michelle Marciniak, memberOfSportsTeam, Portland Power]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portland Power
Context triple: [Michelle Marciniak, memberOfSportsTeam, Portland Power]
  • A. Portland Power chosen
    Portland Power was a professional women's basketball team that competed in the American Basketball League in the late 1990s.
  • B. Portland Water Bureau
    The Portland Water Bureau is the municipal agency responsible for providing and managing the drinking water supply and related water services for the city of Portland, Oregon.
  • C. Seattle City Light
    Seattle City Light is the publicly owned electric utility serving the city of Seattle and surrounding areas in Washington State.
  • D. Portland Housing Bureau
    The Portland Housing Bureau is the City of Portland’s municipal agency responsible for developing and implementing housing policy, affordable housing programs, and homelessness prevention initiatives.
  • E. Portland
    Portland is a small historic town in the Central Tablelands region of New South Wales, Australia, known for its early cement works and heritage streetscapes.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1898748190b031a2bd2091c0c0 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8d570388190b4ed81ace605c6c3 completed March 10, 2026, 9:48 a.m.
Created at: March 6, 2026, 10:01 p.m.