Triple

T19575658
Position Surface form Disambiguated ID Type / Status
Subject Grafton Township E489848 entity
Predicate hasName P744 FINISHED
Object Grafton 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: Grafton Township | Statement: [Grafton Township, hasName, Grafton Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grafton Township
Context triple: [Grafton Township, hasName, Grafton Township]
  • A. Grafton Township chosen
    Grafton Township is a civil township located within Lorain County in the state of Ohio, United States.
  • B. Grant Township
    Grant Township is a civil township in Michigan’s Keweenaw County that includes the unincorporated community and tourist destination of Copper Harbor at the tip of the Keweenaw Peninsula.
  • C. Watertown Township
    Watertown Township is a civil township located in Clinton County in the U.S. state of Michigan.
  • D. Bowne Township
    Bowne Township is a civil township located in Kent County in the U.S. state of Michigan.
  • E. Redford Township
    Redford Township is a suburban community in southeastern Michigan that borders the city of Detroit and functions largely as a residential area within the Detroit metropolitan region.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e64023fe148190900c6887896c8ea0 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.