Triple

T11132550
Position Surface form Disambiguated ID Type / Status
Subject Dickinson County, Michigan E263321 entity
Predicate hasVillage P4011 FINISHED
Object Norway, Michigan E302794 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: Norway, Michigan | Statement: [Dickinson County, Michigan, hasVillage, Norway, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norway, Michigan
Context triple: [Dickinson County, Michigan, hasVillage, Norway, Michigan]
  • A. Norway, Michigan chosen
    Norway, Michigan is a small city in Michigan’s Upper Peninsula known for its historic downtown and proximity to outdoor recreation areas.
  • B. Greenland, Michigan
    Greenland, Michigan is a small unincorporated community and census-designated place in Michigan’s Upper Peninsula known for its remote, rural setting and historical ties to copper mining.
  • C. Norway, Maine
    Norway, Maine is a small New England town known for its historic downtown, lakes and outdoor recreation, located in western Maine.
  • D. Nyland
    Nyland is the historical Swedish name for the coastal region of southern Finland now known as Uusimaa.
  • E. Skandia, Michigan
    Skandia, Michigan is a small rural community located in Michigan’s Upper Peninsula, known for its forested landscapes and proximity to Lake Superior.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8347a248190837e8c26f25f553a completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441e6b72881908f8288e99df0cb7c completed April 19, 2026, 2:45 a.m.
Created at: April 8, 2026, 9:28 p.m.