Triple

T3264509
Position Surface form Disambiguated ID Type / Status
Subject Winooski River E68491 entity
Predicate stateCapitalOnRiver P23341 FINISHED
Object Montpelier, Vermont E4325 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: Montpelier, Vermont | Statement: [Winooski River, stateCapitalOnRiver, Montpelier, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montpelier, Vermont
Context triple: [Winooski River, stateCapitalOnRiver, Montpelier, Vermont]
  • A. Montpelier, Vermont chosen
    Montpelier, Vermont is the small, historic state capital of Vermont, known for its New England charm and distinctive gold-domed statehouse.
  • B. Burlington, Vermont
    Burlington, Vermont is the largest city in Vermont, known for its vibrant arts scene, waterfront on Lake Champlain, and home to the University of Vermont.
  • C. Salisbury, Vermont
    Salisbury, Vermont is a small rural town in Addison County known for its scenic landscapes, including Lake Dunmore and Branbury State Park.
  • D. New Haven, Vermont
    New Haven, Vermont is a small rural town in Addison County known for its agricultural landscape and views of the Green Mountains.
  • E. Richmond, Vermont
    Richmond, Vermont is a small New England town in northwestern Vermont known for its rural character, historic architecture, and proximity to the Green Mountains.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafcb2da08190a7f4fefdfe6d0098 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e83a7a508190afd5342c79f3da9d completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:09 p.m.