Triple

T2465057
Position Surface form Disambiguated ID Type / Status
Subject Farmington Hills E55227 entity
Predicate adjacentTo P224 FINISHED
Object Novi E58031 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: Novi | Statement: [Farmington Hills, adjacentTo, Novi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novi
Context triple: [Farmington Hills, adjacentTo, Novi]
  • 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. Dearborn
    Dearborn is a city in the Detroit metropolitan area best known as the longtime headquarters of the Ford Motor Company and a historic center of the American automotive industry.
  • C. Livonia
    Livonia was a historical region on the eastern coast of the Baltic Sea, encompassing parts of present-day Latvia and Estonia and long contested by regional powers.
  • D. Orel
    Orel is a male given name most famously associated with former Major League Baseball pitcher Orel Hershiser.
  • E. Detroit
    Detroit is a major U.S. city in Michigan known historically as the center of the American automotive industry and for its influential contributions to music, particularly Motown.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1216f44819094c46ae7c2c1e394 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1799b530819095d828c9d4a9dc9c completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:44 p.m.