Triple

T317946
Position Surface form Disambiguated ID Type / Status
Subject Jon Lindbergh E7747 entity
Predicate residence P75 FINISHED
Object Vermont, United States E9978 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: Vermont, United States | Statement: [Jon Lindbergh, residence, Vermont, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vermont, United States
Context triple: [Jon Lindbergh, residence, Vermont, United States]
  • A. Vermont chosen
    Vermont is a small, rural New England state in the northeastern United States, known for its Green Mountains, maple syrup production, and picturesque towns.
  • B. Bennington, Vermont
    Bennington, Vermont is a historic town in southwestern Vermont known for its role in the American Revolutionary War and its prominent Revolutionary War monument.
  • C. New Hampshire
    New Hampshire is a small New England state in the northeastern United States known for its mountainous landscapes, early presidential primary, and “Live Free or Die” motto.
  • D. Greenland, New Hampshire
    Greenland, New Hampshire is a small New England town in Rockingham County known for its historic character and proximity to the Seacoast region.
  • E. Barre, Vermont
    Barre, Vermont is a small city in central Vermont known historically for its granite quarries and stonecutting industry.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea67b7588190be394a56498758b6 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac89e9da1481908837afa843a14510 completed March 7, 2026, 8:26 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.