Triple

T11228216
Position Surface form Disambiguated ID Type / Status
Subject Antrim County E265748 entity
Predicate contains P35 FINISHED
Object Banks Township
Banks Township is a small civil township in northern Michigan known for its rural character and proximity to the scenic lakes and forests of Antrim County.
E912908 NE FINISHED

How this triple was built (4 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: Banks Township | Statement: [Antrim County, contains, Banks Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banks Township
Context triple: [Antrim County, contains, Banks Township]
  • A. Sylvania Township
    Sylvania Township is a suburban township in northwest Ohio that serves as a residential and commercial community within the Toledo metropolitan area.
  • B. Hilliard Township
    Hilliard Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • C. Dymond Township
    Dymond Township was a former municipality in northeastern Ontario, Canada, that later became part of the city of Temiskaming Shores.
  • D. Bloom Township
    Bloom Township is a civil township located in Fairfield County, Ohio, known as a local governmental subdivision within the state.
  • E. Laird Township
    Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Banks Township
Triple: [Antrim County, contains, Banks Township]
Generated description
Banks Township is a small civil township in northern Michigan known for its rural character and proximity to the scenic lakes and forests of Antrim County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Banks Township
Target entity description: Banks Township is a small civil township in northern Michigan known for its rural character and proximity to the scenic lakes and forests of Antrim County.
  • A. Sylvania Township
    Sylvania Township is a suburban township in northwest Ohio that serves as a residential and commercial community within the Toledo metropolitan area.
  • B. Hilliard Township
    Hilliard Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • C. Dymond Township
    Dymond Township was a former municipality in northeastern Ontario, Canada, that later became part of the city of Temiskaming Shores.
  • D. Bloom Township
    Bloom Township is a civil township located in Fairfield County, Ohio, known as a local governmental subdivision within the state.
  • E. Laird Township
    Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
  • F. None of above. chosen

Provenance (5 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ff7b40819089c835be710bc575 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad33fdf48190a7118c7c30577ec9 completed April 19, 2026, 10:23 a.m.
NEDg Description generation batch_69e4b1ee74748190a33449ce1b92813e completed April 19, 2026, 10:43 a.m.
NED2 Entity disambiguation (via description) batch_69e4b3d23b18819096f3a11aecc732bd completed April 19, 2026, 10:52 a.m.
Created at: April 8, 2026, 9:30 p.m.