Triple

T6978155
Position Surface form Disambiguated ID Type / Status
Subject Raspberry Island E161765 entity
Predicate hasNearbyCity P350 FINISHED
Object Bayfield, Wisconsin E126506 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: Bayfield, Wisconsin | Statement: [Raspberry Island, hasNearbyCity, Bayfield, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayfield, Wisconsin
Context triple: [Raspberry Island, hasNearbyCity, Bayfield, Wisconsin]
  • A. Bayfield, Wisconsin chosen
    Bayfield, Wisconsin is a small lakeside city on the shores of Lake Superior known as the gateway to the Apostle Islands National Lakeshore.
  • B. Bayfield
    Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
  • C. Marinette, Wisconsin
    Marinette, Wisconsin is a small industrial city in northeastern Wisconsin on the shore of Green Bay, known historically for shipbuilding and its location opposite Menominee, Michigan.
  • D. Marshfield, Wisconsin
    Marshfield, Wisconsin is a small city in central Wisconsin known historically as a regional agricultural and medical services hub.
  • E. Mukwonago, Wisconsin
    Mukwonago, Wisconsin is a village in Waukesha County known for its small-town character, proximity to the Milwaukee metropolitan area, and access to nearby lakes, parks, and natural waterways.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db68d25c8190a1776908619ad979 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a0ad57c81909aec9f619dc68bd7 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:31 p.m.