Triple

T654362
Position Surface form Disambiguated ID Type / Status
Subject Marcello Truzzi E11613 entity
Predicate residence P75 FINISHED
Object Ypsilanti, Michigan 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, Michigan | Statement: [Marcello Truzzi, residence, Ypsilanti, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ypsilanti, Michigan
Context triple: [Marcello Truzzi, residence, Ypsilanti, Michigan]
  • A. Ypsilanti chosen
    Ypsilanti is a city in southeastern Michigan known for Eastern Michigan University and its historic downtown and automotive heritage.
  • 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. Ecorse, Michigan
    Ecorse, Michigan is a small industrial city in Wayne County along the Detroit River, historically known for its steel manufacturing and role in the Downriver Detroit region.
  • D. Sterling Heights, Michigan
    Sterling Heights, Michigan is a large suburban city in Macomb County, part of the Detroit metropolitan area, known for its residential communities and diverse population.
  • E. Novi, Michigan
    Novi, Michigan is a rapidly growing suburban city in the Detroit metropolitan area known for its shopping centers, business parks, and high quality of life.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4bb5b881908a18b5ec1c94e0cf completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5370a97881908916b387ff6b02af completed March 7, 2026, 4:33 p.m.
Created at: March 1, 2026, 7:36 p.m.