Triple

T21076264
Position Surface form Disambiguated ID Type / Status
Subject Town of Drummond, Wisconsin E519240 entity
Predicate hasPostalDesignation P974 FINISHED
Object Drummond, WI 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: Drummond, WI | Statement: [Town of Drummond, Wisconsin, hasPostalDesignation, Drummond, WI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drummond, WI
Context triple: [Town of Drummond, Wisconsin, hasPostalDesignation, Drummond, WI]
  • A. Town of Drummond, Wisconsin chosen
    The Town of Drummond is a small rural community in northern Wisconsin known for its forests, lakes, and outdoor recreation opportunities.
  • B. Drammen, Wisconsin
    Drammen, Wisconsin is a small rural town located in Eau Claire County in the western part of the state.
  • C. Darien, Wisconsin
    Darien, Wisconsin is a small rural village located in southeastern Wisconsin within Walworth County.
  • D. Wilmot, Wisconsin
    Wilmot, Wisconsin is a small unincorporated community in Kenosha County known for its proximity to the Wilmot Mountain ski and snowboard area.
  • E. Durand, Wisconsin
    Durand, Wisconsin is a small city in Pepin County known as a rural Midwestern community along the Chippewa River.
  • 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d690dc8190839968b562e6b8bb completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:48 p.m.