Triple

T3452793
Position Surface form Disambiguated ID Type / Status
Subject Teutonic Order E72830 entity
Predicate territory P2160 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: [Teutonic Order, territory, Livonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Livonia
Context triple: [Teutonic Order, territory, 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, Michigan
    Livonia, Michigan is a large suburban city in Wayne County, known for its residential communities, shopping centers, and proximity to Detroit.
  • C. Ypsilanti
    Ypsilanti is a city in southeastern Michigan known for Eastern Michigan University and its historic downtown and automotive heritage.
  • 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. Farmington Hills
    Farmington Hills is a suburban city in southeastern Michigan, known for its affluent residential communities, strong public schools, 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbaa2f5ec81909ced93c01e8fe38b completed March 8, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5281d59c881909a23b5d7e7eff307 completed March 14, 2026, 9:19 a.m.
Created at: March 8, 2026, 3:16 p.m.