Triple

T9636816
Position Surface form Disambiguated ID Type / Status
Subject Northern Rivers E232952 entity
Predicate hasCity P316 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: [Northern Rivers, hasCity, Grafton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grafton
Context triple: [Northern Rivers, hasCity, 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b5045cc8190ab717f42d803e010 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1823e32c48190a442b77a0f7c8180 completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:11 p.m.