Triple

T19054592
Position Surface form Disambiguated ID Type / Status
Subject Kakamigahara E466358 entity
Predicate hasSisterCity P919 FINISHED
Object Novi, 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: Novi, Michigan | Statement: [Kakamigahara, hasSisterCity, Novi, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novi, Michigan
Context triple: [Kakamigahara, hasSisterCity, Novi, Michigan]
  • A. Novi, Michigan chosen
    Novi, Michigan is a rapidly growing suburban city in the Detroit metropolitan area known for its shopping centers, business parks, and high quality of life.
  • B. Livonia, Michigan
    Livonia, Michigan is a large suburban city in Wayne County, known for its residential communities, shopping centers, and proximity to Detroit.
  • C. Atlanta, Michigan
    Atlanta, Michigan is a small unincorporated community in northern Michigan known for its outdoor recreation and role as the administrative center of Montmorency County.
  • D. Birmingham, Michigan
    Birmingham, Michigan is an affluent suburban city in the Detroit metropolitan area known for its upscale shopping district, walkable downtown, and high quality of life.
  • E. Moscow, Michigan
    Moscow, Michigan is a small rural village located in Hillsdale County in the southern part of the U.S. state of Michigan.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc049f64819093ae9fda26a49bd2 completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.