Triple

T9443019
Position Surface form Disambiguated ID Type / Status
Subject Between Three Plagues E227693 entity
Predicate settingRegion P1968 FINISHED
Object Livonia E163391 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: Livonia | Statement: [Between Three Plagues, settingRegion, Livonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Livonia
Context triple: [Between Three Plagues, settingRegion, Livonia]
  • A. Livonia chosen
    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.
  • 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, Michigan
    Livonia, Michigan is a large suburban city in Wayne County, known for its residential communities, shopping centers, and proximity to Detroit.
  • D. Ypsilanti
    Ypsilanti is a city in southeastern Michigan known for Eastern Michigan University and its historic downtown and automotive heritage.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f3171248190b92ab990371e63f5 completed April 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9330fa33c8190b507ad18362a6c64 completed April 10, 2026, 5:27 p.m.
Created at: March 30, 2026, 7:50 p.m.