Triple

T9722979
Position Surface form Disambiguated ID Type / Status
Subject Southgate, Michigan E235525 entity
Predicate borders P224 FINISHED
Object Lincoln Park, Michigan E248144 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: Lincoln Park, Michigan | Statement: [Southgate, Michigan, borders, Lincoln Park, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lincoln Park, Michigan
Context triple: [Southgate, Michigan, borders, Lincoln Park, Michigan]
  • A. Lincoln Park, Michigan chosen
    Lincoln Park, Michigan is a downriver suburban city in Wayne County, just south of Detroit, known for its residential neighborhoods and industrial roots.
  • B. Oak Park, Michigan
    Oak Park, Michigan is a suburban city in the Detroit metropolitan area known for its residential neighborhoods and diverse community.
  • C. Lakeview, Michigan
    Lakeview, Michigan is a small rural village in central Michigan known for its close-knit community and proximity to several lakes and outdoor recreation areas.
  • D. St. Clair Park
    St. Clair Park is a public recreational green space and community gathering area located in Greensburg, Pennsylvania.
  • E. Highland Park, Michigan
    Highland Park, Michigan is a small, historically industrial city enclave surrounded by Detroit, known for its early automotive plants and role in the development of the U.S. auto 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e75abd48190a6e6679ec51496e8 completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fa5a8e48190b7b1742eb6c3b81e completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:20 p.m.