Triple

T4107889
Position Surface form Disambiguated ID Type / Status
Subject Eastern Michigan University E88498 entity
Predicate cityServed P82 FINISHED
Object Ypsilanti 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: Ypsilanti | Statement: [Eastern Michigan University, cityServed, Ypsilanti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ypsilanti
Context triple: [Eastern Michigan University, cityServed, Ypsilanti]
  • A. Ypsilanti chosen
    Ypsilanti is a city in southeastern Michigan known for Eastern Michigan University and its historic downtown and automotive heritage.
  • B. Livonia
    Livonia is a town in Livingston County, New York, known for its location near Conesus Lake in the Finger Lakes region.
  • 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. Rochester Hills
    Rochester Hills is a suburban city in Oakland County, Michigan, known for its affluent residential communities, parks, and proximity to the Detroit metropolitan area.
  • E. Livonia, Michigan
    Livonia, Michigan is a large suburban city in Wayne County, known for its residential communities, shopping centers, and proximity to Detroit.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af019e23c481909578eba1c9270282 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed8f8a8a08190b403b8c3caf20009 completed March 21, 2026, 5:44 p.m.
Created at: March 9, 2026, 3:40 p.m.