Triple

T12757638
Position Surface form Disambiguated ID Type / Status
Subject Lori M. Stone E304901 entity
Predicate officeJurisdiction P6190 FINISHED
Object Warren, Michigan NE NERFINISHED

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: Warren, Michigan | Statement: [Lori M. Stone, officeJurisdiction, Warren, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren, Michigan
Context triple: [Lori M. Stone, officeJurisdiction, Warren, Michigan]
  • A. Warren, Michigan chosen
    Warren, Michigan is a large suburban city in Macomb County and a major industrial and automotive manufacturing center in the Detroit metropolitan area.
  • B. Hancock, Michigan
    Hancock, Michigan is a small city in Michigan’s Upper Peninsula known for its rich copper-mining heritage, Finnish-American culture, and proximity to the Keweenaw Peninsula’s historic and natural attractions.
  • C. Hillsdale, Michigan
    Hillsdale, Michigan is a small city and county seat known for its historic downtown and as the home of Hillsdale College.
  • D. Westland, Michigan
    Westland, Michigan is a suburban city in Wayne County within the Detroit metropolitan area, known primarily as a residential and retail community.
  • E. Monroe, Michigan
    Monroe, Michigan is a small city in southeastern Michigan near the western shore of Lake Erie, known for its historic downtown, industrial base, and role in the Battle of Frenchtown during the War of 1812.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8d3eb08190ae998df5cc6d9ba6 completed April 10, 2026, 9:37 p.m.
Created at: April 9, 2026, 5:27 p.m.