Triple

T15855463
Position Surface form Disambiguated ID Type / Status
Subject Cummington, Massachusetts E384441 entity
Predicate borderedBy P224 FINISHED
Object Peru, Massachusetts E724378 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: Peru, Massachusetts | Statement: [Cummington, Massachusetts, borderedBy, Peru, Massachusetts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peru, Massachusetts
Context triple: [Cummington, Massachusetts, borderedBy, Peru, Massachusetts]
  • A. Peru, Massachusetts chosen
    Peru, Massachusetts is a small rural town in Berkshire County known for its high elevation, forested landscape, and quiet residential character in western Massachusetts.
  • B. Peru, Maine
    Peru, Maine is a small rural town in Oxford County known for its scenic western Maine landscape and close-knit community.
  • C. Peru, Vermont
    Peru, Vermont is a small rural town in Bennington County known for its mountainous landscape and proximity to outdoor recreation areas in southern Vermont.
  • D. Mattapoisett, Massachusetts
    Mattapoisett, Massachusetts is a small coastal town in southeastern New England known for its maritime heritage, scenic harbor, and quiet residential character.
  • E. Ayer, Massachusetts
    Ayer, Massachusetts is a small New England town in north-central Massachusetts known for its historic railroad junction, former Fort Devens military base nearby, and role as a local commercial center.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14caf6ae481909ae1385cb4548612 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14977408190815ef02cc54075cc completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.