Triple

T16294300
Position Surface form Disambiguated ID Type / Status
Subject M-24 E395607 entity
Predicate passesThrough P225 FINISHED
Object Oxford, Michigan E294061 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: Oxford, Michigan | Statement: [M-24, passesThrough, Oxford, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxford, Michigan
Context triple: [M-24, passesThrough, Oxford, Michigan]
  • A. Oxford, Michigan chosen
    Oxford, Michigan is a small village in northeastern Oakland County known for its historic downtown and role as a suburban community within the Detroit metropolitan area.
  • B. Athens, Michigan
    Athens, Michigan is a small village in southern Michigan known for its rural character and location within the Battle Creek metropolitan area.
  • C. Oxford Township, Michigan
    Oxford Township, Michigan is a charter township in Oakland County that includes the village of Oxford and serves as a suburban-rural community north of Detroit.
  • D. Lexington, Michigan
    Lexington, Michigan is a small lakeside village on the shores of Lake Huron known for its marina, beaches, and role as a popular tourist destination in Michigan’s Blue Water Area.
  • E. Hartford, Michigan
    Hartford, Michigan is a small city in southwestern Michigan known for its rural character, agricultural surroundings, and proximity to major regional transportation routes.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2c255881909d99c43770475329 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025fd56008190a9cb896e7ea2d26a completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:05 a.m.