Triple

T1960469
Position Surface form Disambiguated ID Type / Status
Subject Ypsilanti, Michigan E42372 entity
Predicate hasNickname P39 FINISHED
Object Ypsi E58392 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: Ypsi | Statement: [Ypsilanti, Michigan, hasNickname, Ypsi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ypsi
Context triple: [Ypsilanti, Michigan, hasNickname, Ypsi]
  • A. Ypsilanti chosen
    Ypsilanti is a city in southeastern Michigan known for Eastern Michigan University and its historic downtown and automotive heritage.
  • B. Ferndale
    Ferndale is a former coal-mining town and community located in the Rhondda Fach valley in south Wales.
  • C. Calumet Heights
    Calumet Heights is a primarily residential neighborhood located on the South Side of Chicago, known for its stable middle-class character and well-kept homes.
  • D. 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.
  • E. 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.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb380bfc08190ae80f8e6570494b8 completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbcea048819091d705095f0d3f68 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.