Triple

T10067246
Position Surface form Disambiguated ID Type / Status
Subject Somerset County, Maine E213131 entity
Predicate containsTown P847 FINISHED
Object Solon, Maine E164910 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: Solon, Maine | Statement: [Somerset County, Maine, containsTown, Solon, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solon, Maine
Context triple: [Somerset County, Maine, containsTown, Solon, Maine]
  • A. Solon, Maine chosen
    Solon, Maine is a small rural town in central Maine known for its scenic Kennebec River setting and outdoor recreation opportunities.
  • B. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • C. Wells, Maine
    Wells, Maine is a historic coastal town in southern Maine known for its long sandy beaches and role as a popular summer vacation destination.
  • D. Thorndike, Maine
    Thorndike, Maine is a small rural town located in Waldo County in the central part of the state.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff63a4c8190bb08a0428aafa189 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69f75462fe9081908b939a1c6bdba6b9 completed May 3, 2026, 1:57 p.m.
Created at: March 30, 2026, 8:58 p.m.