Triple

T5542141
Position Surface form Disambiguated ID Type / Status
Subject Central Wisconsin E145314 entity
Predicate contains P35 FINISHED
Object Marshfield E528178 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: Marshfield | Statement: [Central Wisconsin, contains, Marshfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marshfield
Context triple: [Central Wisconsin, contains, Marshfield]
  • A. Marshfield
    Marshfield is a coastal town in Plymouth County, Massachusetts, known for its beaches along Cape Cod Bay and its New England seaside character.
  • B. Marshfield
    Marshfield is a historic rural village and civil parish in South Gloucestershire, England, known for its traditional Cotswold stone architecture and conservation area status.
  • C. Marshfield, Wisconsin chosen
    Marshfield, Wisconsin is a small city in central Wisconsin known historically as a regional agricultural and medical services hub.
  • D. Bayfield
    Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
  • E. Bayfield, Wisconsin
    Bayfield, Wisconsin is a small lakeside city on the shores of Lake Superior known as the gateway to the Apostle Islands National Lakeshore.
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fc7e26481908cec8d0483170ea5 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cec35248190bae940a95e79a586 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:35 p.m.