Triple

T3264542
Position Surface form Disambiguated ID Type / Status
Subject Winooski River E68491 entity
Predicate hasTownOnRiver P26693 FINISHED
Object Essex, Vermont E368545 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: Essex, Vermont | Statement: [Winooski River, hasTownOnRiver, Essex, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Essex, Vermont
Context triple: [Winooski River, hasTownOnRiver, Essex, Vermont]
  • A. Essex, Vermont chosen
    Essex, Vermont is a suburban town in Chittenden County known as one of the largest communities in the state and part of the greater Burlington metropolitan area.
  • B. Middlesex, Vermont
    Middlesex, Vermont is a small rural town in central Vermont known for its scenic landscape, outdoor recreation, and proximity to the state capital, Montpelier.
  • C. Underhill, Vermont
    Underhill, Vermont is a small rural town in northwestern Vermont known for its scenic landscapes near Mount Mansfield and its location within the Burlington metropolitan area.
  • D. St. George, Vermont
    St. George, Vermont is a small town in northwestern Vermont known for being the least populous town in Chittenden County.
  • E. Warren, Vermont
    Warren, Vermont is a small New England town in the Mad River Valley known for its scenic mountain setting, outdoor recreation, and proximity to Sugarbush Resort.
  • 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_69b3bb6ae0bc8190a64ab7c2a842495b completed March 13, 2026, 7:23 a.m.
Created at: March 8, 2026, 3:09 p.m.