Triple

T16665
Position Surface form Disambiguated ID Type / Status
Subject Everett Memorial Stadium E331 entity
Predicate owner P347 FINISHED
Object City of Everett E13 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: City of Everett | Statement: [Everett Memorial Stadium, owner, City of Everett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Everett
Context triple: [Everett Memorial Stadium, owner, City of Everett]
  • A. Everett Public Schools
    Everett Public Schools is the public school district serving students in the city of Everett, Massachusetts.
  • B. Everett, Massachusetts, United States chosen
    Everett, Massachusetts, United States, is a small industrial city just north of Boston known historically for its manufacturing base and as the birthplace of influential engineer and science administrator Vannevar Bush.
  • C. Lynden, Washington
    Lynden, Washington is a small city in Whatcom County known for its strong Dutch-American heritage, dairy farming, and traditional festivals.
  • D. Everett High School
    Everett High School is the main public secondary school serving students in the city of Everett, Massachusetts.
  • E. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a24003aca48190b98c2df43d65e496 completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a284f6d1a88190b5e0adeb36cce8cd completed Feb. 28, 2026, 6:02 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.