Triple

T3509194
Position Surface form Disambiguated ID Type / Status
Subject Washington County, Maine E74153 entity
Predicate contains P35 FINISHED
Object Dennysville, Maine
Dennysville, Maine is a small rural town in eastern Maine known for its historic character and location along the Dennys River.
E362536 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: Dennysville, Maine | Statement: [Washington County, Maine, contains, Dennysville, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dennysville, Maine
Context triple: [Washington County, Maine, contains, Dennysville, Maine]
  • A. Woodville, Maine
    Woodville, Maine is a small rural town located in Penobscot County in the central part of the state.
  • B. Dixfield, Maine
    Dixfield, Maine is a small New England town in western Maine known for its rural character and location along the Androscoggin River in Oxford County.
  • C. Cornville, Maine
    Cornville, Maine is a small rural town located in central Maine known for its agricultural character and quiet, scenic setting.
  • D. Kingfield, Maine
    Kingfield, Maine is a small town in western Maine known as a gateway to the Sugarloaf ski area and the scenic Carrabassett Valley.
  • E. Haynesville, Maine
    Haynesville, Maine is a small rural town in northern Maine known for its remote location and heavily forested landscape.
  • 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: Dennysville, Maine
Triple: [Washington County, Maine, contains, Dennysville, Maine]
Generated description
Dennysville, Maine is a small rural town in eastern Maine known for its historic character and location along the Dennys River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dennysville, Maine
Target entity description: Dennysville, Maine is a small rural town in eastern Maine known for its historic character and location along the Dennys River.
  • A. Woodville, Maine
    Woodville, Maine is a small rural town located in Penobscot County in the central part of the state.
  • B. Dixfield, Maine
    Dixfield, Maine is a small New England town in western Maine known for its rural character and location along the Androscoggin River in Oxford County.
  • C. Cornville, Maine
    Cornville, Maine is a small rural town located in central Maine known for its agricultural character and quiet, scenic setting.
  • D. Kingfield, Maine
    Kingfield, Maine is a small town in western Maine known as a gateway to the Sugarloaf ski area and the scenic Carrabassett Valley.
  • E. Haynesville, Maine
    Haynesville, Maine is a small rural town in northern Maine known for its remote location and heavily forested landscape.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0cc394819087a9b598023f4f93 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373e3cd808190807d4acae2942a9d completed March 13, 2026, 2:18 a.m.
NEDg Description generation batch_69b3746f1de4819091c5bcbf8a988ef1 completed March 13, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b374f7274481909569a05060e6822c completed March 13, 2026, 2:22 a.m.
Created at: March 8, 2026, 3:18 p.m.