Triple

T15111049
Position Surface form Disambiguated ID Type / Status
Subject Windham Region E360911 entity
Predicate contains P35 FINISHED
Object Jamaica, Vermont E399759 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: Jamaica, Vermont | Statement: [Windham Region, contains, Jamaica, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamaica, Vermont
Context triple: [Windham Region, contains, Jamaica, Vermont]
  • A. Jamaica, Vermont chosen
    Jamaica, Vermont is a small rural town in southern Vermont known for its scenic Green Mountain setting and outdoor recreation opportunities.
  • B. Johnson, Vermont
    Johnson, Vermont is a small town in northern Vermont known for its rural setting, outdoor recreation opportunities, and the presence of Vermont State University–Johnson (formerly Johnson State College).
  • C. Washington, Vermont
    Washington, Vermont is a small rural town in central Vermont known for its scenic landscapes and traditional New England character.
  • 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. 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058c04f481909deeac0271d961b6 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eb139c8190b76393e4a8be576b completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.