Triple

T15862275
Position Surface form Disambiguated ID Type / Status
Subject Will County E384617 entity
Predicate hasVillage P4011 FINISHED
Object Peotone E265724 NE FINISHED

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: Peotone | Statement: [Will County, hasVillage, Peotone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peotone
Context triple: [Will County, hasVillage, Peotone]
  • A. Wisconsin Rapids
    Wisconsin Rapids is a small city in central Wisconsin known historically for its paper industry and location along the Wisconsin River.
  • B. Pewaukee
    Pewaukee is a suburban city in Waukesha County, Wisconsin, known for its residential communities and recreational Pewaukee Lake.
  • C. Peotone, Illinois chosen
    Peotone, Illinois is a small village in northeastern Illinois known for its rural character and location within the Chicago metropolitan area.
  • D. Waunakee, Wisconsin
    Waunakee, Wisconsin is a village in Dane County known as a growing suburban community just north of Madison.
  • E. Waupun, Wisconsin
    Waupun, Wisconsin is a small city in Dodge and Fond du Lac counties known for its historic correctional institutions and prominent public sculptures, including the famous "End of the Trail" statue.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555c75688190aeae5bcf5bb92bb7 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9439db481908be2f6d8a3cfbc85 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.