Triple

T4286650
Position Surface form Disambiguated ID Type / Status
Subject Kent County, Michigan E97284 entity
Predicate containsCity P294 FINISHED
Object Wyoming, Michigan E144774 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: Wyoming, Michigan | Statement: [Kent County, Michigan, containsCity, Wyoming, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wyoming, Michigan
Context triple: [Kent County, Michigan, containsCity, Wyoming, Michigan]
  • A. Wyoming, Michigan chosen
    Wyoming, Michigan is a suburban city located just south of Grand Rapids in western Michigan, known for its residential neighborhoods, parks, and light industrial and commercial areas.
  • B. Wyoming, Illinois
    Wyoming, Illinois is a small city in Stark County that serves as a rural community within central Illinois.
  • C. Wyoming, Iowa
    Wyoming, Iowa is a small city in eastern Iowa located in Jones County, known for its rural character and local community events.
  • D. Wyoming, Ohio
    Wyoming, Ohio is a small suburban city near Cincinnati known for its historic homes, strong public schools, and tree-lined residential neighborhoods.
  • E. Wyoming
    Wyoming is a sparsely populated U.S. state known for its vast plains, the Rocky Mountains, and iconic national parks like Yellowstone and Grand Teton.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3505d23d88190a638f2cc2acee9ee completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7c8c1ac819086ded38c1abe9b63 completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:08 p.m.