Triple

T21788979
Position Surface form Disambiguated ID Type / Status
Subject Dyrham E537915 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Marshfield 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: Marshfield | Statement: [Dyrham, hasNearbySettlement, Marshfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marshfield
Context triple: [Dyrham, hasNearbySettlement, Marshfield]
  • A. Marshfield chosen
    Marshfield is a historic rural village and civil parish in South Gloucestershire, England, known for its traditional Cotswold stone architecture and conservation area status.
  • B. Marshfield
    Marshfield is a coastal town in Plymouth County, Massachusetts, known for its beaches along Cape Cod Bay and its New England seaside character.
  • C. Marshfield, Wisconsin
    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. River Falls
    River Falls is a small town located in Covington County, Alabama, known for its rural character and proximity to the Conecuh 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621dfa3c8190921bfccbff7331f2 completed April 28, 2026, 7:30 a.m.
Created at: April 16, 2026, 6:52 p.m.