Triple

T19787135
Position Surface form Disambiguated ID Type / Status
Subject Ridge View Community School E475299 entity
Predicate servesArea P82 FINISHED
Object Dexter, Maine area NE NERFINISHED

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: Dexter, Maine area | Statement: [Ridge View Community School, servesArea, Dexter, Maine area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dexter, Maine area
Context triple: [Ridge View Community School, servesArea, Dexter, Maine area]
  • A. Dexter, Maine chosen
    Dexter, Maine is a small New England town known for its historic mill industry and lakeside setting in central Maine.
  • B. Castle Rock, Maine
    Castle Rock, Maine is a fictional small town in Stephen King’s works, known as the setting for many of his horror and suspense stories.
  • C. Strong, Maine
    Strong, Maine is a small rural town in western Maine known historically for its lumber and toothpick manufacturing industries.
  • D. Damariscotta, Maine
    Damariscotta, Maine is a small coastal town in Lincoln County known for its historic waterfront, oyster farming, and scenic location along the Damariscotta River.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65389145881909385f36f56cd250b completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.