Triple

T894927
Position Surface form Disambiguated ID Type / Status
Subject Allegan County E19322 entity
Predicate contains P35 FINISHED
Object city of Allegan E106098 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: city of Allegan | Statement: [Allegan County, contains, city of Allegan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Allegan
Context triple: [Allegan County, contains, city of Allegan]
  • A. Allegan chosen
    Allegan is a small city in southwestern Michigan known for its historic downtown, riverfront setting, and role as the governmental and commercial center of Allegan County.
  • B. Kalamazoo
    Kalamazoo is a mid-sized city in southwestern Michigan known for its historic downtown, educational institutions like Western Michigan University, and a legacy of manufacturing and craft beer.
  • C. Bay City
    Bay City is a small industrial and port city in east-central Michigan located near Saginaw Bay on Lake Huron.
  • D. Leland, Michigan
    Leland, Michigan is a small historic village on the shores of Lake Michigan known for its picturesque harbor and preserved fishing district called Fishtown.
  • E. Grand Rapids, Michigan
    Grand Rapids, Michigan is a mid-sized city in western Michigan known for its strong Dutch-American heritage, vibrant arts scene, and historic furniture manufacturing industry.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad22b6fc819093e655c8ce1f738b completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee02a21c819088e6a137ea306efd completed March 4, 2026, 8:32 a.m.
Created at: March 1, 2026, 7:39 p.m.