Triple

T15111058
Position Surface form Disambiguated ID Type / Status
Subject Windham Region E360911 entity
Predicate contains P35 FINISHED
Object Londonderry, Vermont NE NERFINISHED

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: Londonderry, Vermont | Statement: [Windham Region, contains, Londonderry, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Londonderry, Vermont
Context triple: [Windham Region, contains, Londonderry, Vermont]
  • A. Londonderry, New Hampshire
    Londonderry, New Hampshire is a suburban town in southern New Hampshire known for its historic apple orchards and proximity to the city of Manchester.
  • B. 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.
  • C. Dover, Vermont chosen
    Dover, Vermont is a small town in southern Vermont known as a popular base for visitors to the nearby Mount Snow ski resort.
  • 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. Westminster, Vermont
    Westminster, Vermont is a historic New England town in southeastern Vermont known as one of the state’s earliest chartered settlements and the site of the 1775 Westminster Massacre.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058c04f481909deeac0271d961b6 completed April 15, 2026, 9:39 p.m.
Created at: April 10, 2026, 3:05 a.m.