Triple

T2420856
Position Surface form Disambiguated ID Type / Status
Subject Washtenaw County, Michigan E53413 entity
Predicate contains P35 FINISHED
Object Ann Arbor, Michigan E46153 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: Ann Arbor, Michigan | Statement: [Washtenaw County, Michigan, contains, Ann Arbor, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Arbor, Michigan
Context triple: [Washtenaw County, Michigan, contains, Ann Arbor, Michigan]
  • A. Ann Arbor chosen
    Ann Arbor is a vibrant college town in southeastern Michigan best known as the home of the University of Michigan and a center for education, research, and arts.
  • B. Berkley, Michigan
    Berkley, Michigan is a small suburban city in Oakland County known for its tree-lined neighborhoods, family-friendly community, and proximity to Detroit.
  • C. East Lansing
    East Lansing is a city in central Michigan best known as the home of Michigan State University.
  • D. Portland, Michigan
    Portland, Michigan is a small city in Ionia County known for its historic downtown, multiple riverfront parks, and extensive network of pedestrian bridges and trails.
  • E. Grand Rapids, Michigan
    Grand Rapids, Michigan is a mid-sized city in western Michigan known for its strong Dutch-American heritage, vibrant arts scene, and historic furniture manufacturing industry.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc96f97e08190978b2d873ab88859 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cd2e9808190aa124c6051d1fc98 completed March 9, 2026, 11:50 p.m.
Created at: March 6, 2026, 9:42 p.m.