Triple

T8034495
Position Surface form Disambiguated ID Type / Status
Subject Clarence River E187070 entity
Predicate passesThrough P225 FINISHED
Object Grafton E214881 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: Grafton | Statement: [Clarence River, passesThrough, Grafton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grafton
Context triple: [Clarence River, passesThrough, Grafton]
  • A. Grafton chosen
    Grafton is a regional city in northern New South Wales, Australia, known for its historic architecture and annual Jacaranda Festival.
  • B. Grafton
    Grafton is a small rural village located within the district of West Oxfordshire in England.
  • C. Grafton
    Grafton is a small village in northeastern Ohio, United States, known for its residential community and proximity to the city of Cleveland.
  • D. Grafton
    Grafton is a suburban village in Ozaukee County, Wisconsin, known for its proximity to Milwaukee and its mix of residential neighborhoods, commercial areas, and access to the Milwaukee River.
  • E. Grafton, Massachusetts
    Grafton, Massachusetts is a historic New England town known for its colonial-era roots, traditional town common, and role in the greater Worcester metropolitan area.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef50f4c8190a895ac301f182734 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63cb39a48190b4d987295b5aa1b2 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:22 p.m.