Triple

T16408655
Position Surface form Disambiguated ID Type / Status
Subject Vassalboro, Maine E398500 entity
Predicate hasVillage P4011 FINISHED
Object South Vassalboro E398500 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: South Vassalboro | Statement: [Vassalboro, Maine, hasVillage, South Vassalboro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Vassalboro
Context triple: [Vassalboro, Maine, hasVillage, South Vassalboro]
  • A. Vassalboro, Maine chosen
    Vassalboro, Maine is a small rural town in central Maine known for its historic villages, lakeside recreation, and proximity to the state capital region.
  • B. Kennebunkport
    Kennebunkport is a coastal resort town in southern Maine known for its historic charm, beaches, and long association with the Bush family.
  • C. Parsonsfield, Maine
    Parsonsfield, Maine is a small rural town in southwestern Maine known for its historic character, forested landscapes, and location near the New Hampshire border.
  • D. Waterboro, Maine
    Waterboro, Maine is a small rural town in York County known for its lakes, forests, and residential communities within commuting distance of Portland.
  • E. Shapleigh, Maine
    Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32870e44c8190aae7bc6e6022ceb7 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f439d048190bf779cb263b7c7a7 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:09 a.m.