Triple

T8791235
Position Surface form Disambiguated ID Type / Status
Subject Manitowoc County E209169 entity
Predicate countySeat P383 FINISHED
Object Manitowoc E193487 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: Manitowoc | Statement: [Manitowoc County, countySeat, Manitowoc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manitowoc
Context triple: [Manitowoc County, countySeat, Manitowoc]
  • A. Manitowoc chosen
    Manitowoc is a city in eastern Wisconsin on the shores of Lake Michigan, known historically for its shipbuilding and manufacturing industries.
  • B. Manitowoc Marina
    Manitowoc Marina is a waterfront harbor and recreational boating facility in Manitowoc, Wisconsin, offering dockage, marine services, and access to Lake Michigan.
  • C. Cudahy
    Cudahy is a small, densely populated city in southeastern Los Angeles County, California, known for its predominantly Latino community and urban residential character.
  • D. Racine Harbor
    Racine Harbor is a port and marina facility on Lake Michigan serving the city of Racine, Wisconsin, for commercial and recreational boating.
  • E. Calumet Harbor
    Calumet Harbor is a commercial and industrial harbor on the southwest shore of Lake Michigan that serves as a key shipping and transportation hub for the Chicago region.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8e6e4881909155c40c52bc082c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5220af84819095ddefd84fd9f369 completed April 3, 2026, 5:37 a.m.
Created at: March 30, 2026, 6:43 p.m.