Triple

T17820750
Position Surface form Disambiguated ID Type / Status
Subject Rice County E444974 entity
Predicate contains P35 FINISHED
Object Forest Township NE NERFINISHED

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: Forest Township | Statement: [Rice County, contains, Forest Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forest Township
Context triple: [Rice County, contains, Forest Township]
  • A. Forest Township chosen
    Forest Township is a rural civil township located in Minnesota, United States.
  • B. Riverside Township
    Riverside Township is a small New Jersey municipality in Burlington County, known historically for its industrial roots and riverside location along the Delaware River.
  • C. Riverside Township
    Riverside Township is a suburban township in Cook County, Illinois, encompassing the village of Riverside and surrounding communities just west of Chicago.
  • D. Meridian Township
    Meridian Township is a charter township in Ingham County, Michigan, known as a suburban community in the Greater Lansing metropolitan area.
  • E. Martin Township
    Martin Township is a small civil township located within Allegan County in the U.S. state of Michigan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48910eb8881908db8ec08e2752d7d completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.