Triple

T19806237
Position Surface form Disambiguated ID Type / Status
Subject City of Douglas E475817 entity
Predicate borderedBy P224 FINISHED
Object Saugatuck 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: Saugatuck Township | Statement: [City of Douglas, borderedBy, Saugatuck Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saugatuck Township
Context triple: [City of Douglas, borderedBy, Saugatuck Township]
  • A. Saugatuck Township chosen
    Saugatuck Township is a small lakeside community in western Michigan known for its scenic Lake Michigan shoreline, dunes, and tourism-oriented economy.
  • B. Walcott Township
    Walcott Township is a small rural township located in the U.S. state of Minnesota.
  • C. Augusta Township
    Augusta Township is a civil township in Washtenaw County, Michigan, forming part of the broader Ann Arbor metropolitan region.
  • D. Sylvania Township
    Sylvania Township is a suburban township in northwest Ohio that serves as a residential and commercial community within the Toledo metropolitan area.
  • E. Scott Township
    Scott Township is a suburban municipality in Allegheny County, Pennsylvania, located just southwest of Pittsburgh.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65428081c8190b394c442f4c2a9a6 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.