Triple

T1891440
Position Surface form Disambiguated ID Type / Status
Subject Central Maine E41882 entity
Predicate contains P35 FINISHED
Object Waterville, Maine E386690 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: Waterville, Maine | Statement: [Central Maine, contains, Waterville, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterville, Maine
Context triple: [Central Maine, contains, Waterville, Maine]
  • A. Waterville, Maine chosen
    Waterville, Maine is a small city in central Maine known for hosting Colby College and its historic mill and riverfront downtown along the Kennebec River.
  • B. Sanford, Maine
    Sanford, Maine is a city in York County known for its historic textile mill heritage and its location in southern Maine near the New Hampshire border.
  • C. Kennebunk, Maine
    Kennebunk, Maine is a coastal New England town known for its historic charm, beaches, and popular summer tourism.
  • D. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • E. Westbrook, Maine
    Westbrook, Maine is a small city in Cumberland County, just west of Portland, known for its historic mill industry and growing residential and commercial development.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb145f96c8190a71bb9e442892e68 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69befe34c0908190a618ff01ee27bfbb completed March 21, 2026, 8:23 p.m.
Created at: March 4, 2026, 7:34 p.m.