Triple

T11407678
Position Surface form Disambiguated ID Type / Status
Subject Appleton E270280 entity
Predicate hasVariant P455 FINISHED
Object Appelton E270280 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: Appelton | Statement: [Appleton, hasVariant, Appelton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Appelton
Context triple: [Appleton, hasVariant, Appelton]
  • A. Appleton chosen
    Appleton is an English-origin surname borne by various notable individuals across fields such as literature, politics, and science.
  • B. Appleton
    Appleton is a mid-sized city in eastern Wisconsin known for its paper industry heritage, proximity to the Fox River, and role as a regional economic and cultural center.
  • C. 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.
  • D. Grafton
    Grafton is a regional city in northern New South Wales, Australia, known for its historic architecture and annual Jacaranda Festival.
  • E. Grafton
    Grafton is a small rural village located within the district of West Oxfordshire in England.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014e72748190a01bde2f0105cedb completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58d6eea4c81908319a590d2d9e177 completed April 20, 2026, 2:20 a.m.
Created at: April 8, 2026, 9:34 p.m.