Triple

T12167797
Position Surface form Disambiguated ID Type / Status
Subject Washtenaw International High School E289879 entity
Predicate city P40 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: [Washtenaw International High School, city, Ypsilanti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ypsilanti
Context triple: [Washtenaw International High School, city, 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. Athens, Michigan
    Athens, Michigan is a small village in southern Michigan known for its rural character and location within the Battle Creek metropolitan area.
  • E. 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.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d85c088190a74fb7590877659b completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64e2991c81908f474fe07a6ba10a completed May 8, 2026, 10:34 p.m.
Created at: April 8, 2026, 9:50 p.m.