Triple

T1413618
Position Surface form Disambiguated ID Type / Status
Subject Kennebec County, Maine E31860 entity
Predicate contains P35 FINISHED
Object Rome, Maine
Rome, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character within Kennebec County.
E427945 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: Rome, Maine | Statement: [Kennebec County, Maine, contains, Rome, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rome, Maine
Context triple: [Kennebec County, Maine, contains, Rome, Maine]
  • A. Smyrna, Maine
    Smyrna, Maine is a small rural town located in northeastern Maine within Aroostook County, known for its agricultural character and close-knit community.
  • B. Belgrade, Maine
    Belgrade, Maine is a small town in central Maine known for its scenic chain of lakes and rural New England character.
  • C. Harrison, Maine
    Harrison, Maine is a small town in western Maine known for its lakeside setting and recreational opportunities in Oxford County.
  • D. Avon, Maine
    Avon, Maine is a small rural town in western Maine known for its scenic landscapes and location within Franklin County.
  • E. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • 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: Rome, Maine
Triple: [Kennebec County, Maine, contains, Rome, Maine]
Generated description
Rome, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character within Kennebec County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rome, Maine
Target entity description: Rome, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character within Kennebec County.
  • A. Smyrna, Maine
    Smyrna, Maine is a small rural town located in northeastern Maine within Aroostook County, known for its agricultural character and close-knit community.
  • B. Belgrade, Maine
    Belgrade, Maine is a small town in central Maine known for its scenic chain of lakes and rural New England character.
  • C. Harrison, Maine
    Harrison, Maine is a small town in western Maine known for its lakeside setting and recreational opportunities in Oxford County.
  • D. Avon, Maine
    Avon, Maine is a small rural town in western Maine known for its scenic landscapes and location within Franklin County.
  • E. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • 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_69b5c6c1bb08819086668e6c1f0cce03 completed March 14, 2026, 8:36 p.m.
NEDg Description generation batch_69b5c7ab41fc81909813233bd729e989 completed March 14, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69b5c81d6e188190a1f0f21a990943d0 completed March 14, 2026, 8:42 p.m.
Created at: March 1, 2026, 7:59 p.m.