Triple

T15136266
Position Surface form Disambiguated ID Type / Status
Subject M-39 E361562 entity
Predicate passesThrough P225 FINISHED
Object Southfield, 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: Southfield, Michigan | Statement: [M-39, passesThrough, Southfield, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southfield, Michigan
Context triple: [M-39, passesThrough, Southfield, Michigan]
  • A. Sterling Heights, Michigan
    Sterling Heights, Michigan is a large suburban city in Macomb County, part of the Detroit metropolitan area, known for its residential communities and diverse population.
  • B. Southfield
    Southfield is a small village located within the rural town of New Marlborough in Berkshire County, Massachusetts.
  • C. Southfield chosen
    Southfield is a suburban city in Oakland County, Michigan, known as a major commercial and business center in the Detroit metropolitan area.
  • D. Farmington Hills
    Farmington Hills is a suburban city in southeastern Michigan, known for its affluent residential communities, strong public schools, and proximity to the Detroit metropolitan area.
  • E. Dearborn Heights, Michigan
    Dearborn Heights, Michigan is a suburban city in the Detroit metropolitan area known for its residential neighborhoods, diverse population, and proximity to major regional employers and amenities.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b3f6f48190b1ed7c7b28feb7a6 completed April 15, 2026, 9:40 p.m.
Created at: April 10, 2026, 3:07 a.m.