Triple

T442040
Position Surface form Disambiguated ID Type / Status
Subject Michigan Wolverines football E10133 entity
Predicate city P40 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: [Michigan Wolverines football, city, Ann Arbor, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Arbor, Michigan
Context triple: [Michigan Wolverines football, city, 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. East Lansing
    East Lansing is a city in central Michigan best known as the home of Michigan State University.
  • C. 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.
  • D. Lansing, Michigan
    Lansing, Michigan is the capital city of the U.S. state of Michigan and a historic center of automobile manufacturing and industry.
  • E. Ecorse, Michigan
    Ecorse, Michigan is a small industrial city in Wayne County along the Detroit River, historically known for its steel manufacturing and role in the Downriver Detroit region.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef42b4008190abed9d79926c7022 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e3f1e5908190850594ccb37f364a completed March 2, 2026, 1:12 a.m.
Created at: Feb. 28, 2026, 1:11 p.m.