Triple

T11600739
Position Surface form Disambiguated ID Type / Status
Subject Meridian Township E275121 entity
Predicate contains P35 FINISHED
Object Okemos, Michigan E272734 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: Okemos, Michigan | Statement: [Meridian Township, contains, Okemos, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okemos, Michigan
Context triple: [Meridian Township, contains, Okemos, Michigan]
  • A. Okemos chosen
    Okemos is a suburban community in central Michigan known for its residential neighborhoods, schools, and proximity to Michigan State University in nearby East Lansing.
  • B. Crystal Mountain (Michigan)
    Crystal Mountain (Michigan) is a popular four-season resort in northern Michigan known for its ski slopes, golf courses, and family-friendly recreational activities.
  • C. Otsego
    Otsego is a small city in southwestern Michigan known historically for its paper mills and location along the Kalamazoo River.
  • D. Saranac, Michigan
    Saranac, Michigan is a small rural village in Ionia County known for its close-knit community and location along the Grand River in central Michigan.
  • E. Elberta, Michigan
    Elberta, Michigan is a small village on Lake Michigan in Benzie County known historically as a Great Lakes port and rail terminus.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8954c3c248190bcccd4c7ff667b3a completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a7f018a881908f4b206699044ceb completed April 22, 2026, 10:50 a.m.
Created at: April 8, 2026, 9:38 p.m.