Triple

T1413619
Position Surface form Disambiguated ID Type / Status
Subject Kennebec County, Maine E31860 entity
Predicate contains P35 FINISHED
Object Wayne, Maine
Wayne, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
 E430103 NE FINISHED

How this triple was built (4 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: Wayne, Maine | Statement: [Kennebec County, Maine, contains, Wayne, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wayne, Maine
Context triple: [Kennebec County, Maine, contains, Wayne, Maine]
  • A. 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.
  • B. Blaine, Maine
    Blaine, Maine is a small rural town located in northeastern Maine near the Canadian border, within Aroostook County’s agricultural region.
  • C. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • D. Westfield, Maine
    Westfield, Maine is a small rural town located in northern Maine within Aroostook County.
  • E. Hallowell, Maine
    Hallowell, Maine is a small historic city on the Kennebec River known for its preserved 19th-century architecture, arts scene, and role in central Maine’s commercial and cultural life.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wayne, Maine
Triple: [Kennebec County, Maine, contains, Wayne, Maine]
Generated description
Wayne, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wayne, Maine
Target entity description: Wayne, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
  • A. 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.
  • B. Blaine, Maine
    Blaine, Maine is a small rural town located in northeastern Maine near the Canadian border, within Aroostook County’s agricultural region.
  • C. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • D. Westfield, Maine
    Westfield, Maine is a small rural town located in northern Maine within Aroostook County.
  • E. Hallowell, Maine
    Hallowell, Maine is a small historic city on the Kennebec River known for its preserved 19th-century architecture, arts scene, and role in central Maine’s commercial and cultural life.
  • F. None of above. chosen

Provenance (5 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3e476f08190aed1576805c62462 completed March 1, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0232d78819084fbc7c1d229c83c completed March 14, 2026, 9:16 p.m.
NEDg Description generation batch_69b5d0cbc000819088f22bba5dcee7eb completed March 14, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_69b5d172e0448190bd323d79f4b36d28 completed March 14, 2026, 9:21 p.m.
Created at: March 1, 2026, 7:59 p.m.