Triple

T4368605
Position Surface form Disambiguated ID Type / Status
Subject South Burlington E98838 entity
Predicate adjacentTo P224 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: [South Burlington, adjacentTo, Essex, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Essex, Vermont
Context triple: [South Burlington, adjacentTo, 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352034d3881909ed4b2f9eef5e823 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbcec90881908fe83c83119d99fe completed March 14, 2026, 10:06 p.m.
Created at: March 12, 2026, 11:17 p.m.