Triple

T894918
Position Surface form Disambiguated ID Type / Status
Subject Allegan County E19322 entity
Predicate countySeat P383 FINISHED
Object 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: Allegan | Statement: [Allegan County, countySeat, Allegan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allegan
Context triple: [Allegan County, countySeat, 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. Harpley
    Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
  • C. Groveland
    Groveland is a small unincorporated community in California’s Sierra Nevada foothills, known as a gateway town for visitors traveling to Yosemite National Park.
  • D. Wyandotte
    Wyandotte is a popular American dual-purpose chicken breed valued for its good egg production, meat quality, and attractive laced plumage.
  • E. Battle Creek
    Battle Creek is a mid-sized city in south-central Michigan known historically for its cereal industry and as the headquarters of Kellogg Company.
  • 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_69a7c730693c81909dfda6c5aca876c5 completed March 4, 2026, 5:46 a.m.
Created at: March 1, 2026, 7:39 p.m.