Triple

T6993080
Position Surface form Disambiguated ID Type / Status
Subject China, Maine E162130 entity
Predicate hasZIPCodeArea P920 FINISHED
Object Weeks Mills, Maine
Weeks Mills, Maine is a small village within the town of China in Kennebec County, known for its rural character and historic mill origins.
 E635562 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: Weeks Mills, Maine | Statement: [China, Maine, hasZIPCodeArea, Weeks Mills, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weeks Mills, Maine
Context triple: [China, Maine, hasZIPCodeArea, Weeks Mills, Maine]
  • A. Westfield, Maine
    Westfield, Maine is a small rural town located in northern Maine within Aroostook County.
  • B. Brownfield, Maine
    Brownfield, Maine is a small rural town in western Maine known for its scenic landscapes, outdoor recreation, and proximity to the White Mountains.
  • C. Medway, Maine
    Medway, Maine is a small rural town in northern Maine located near the confluence of the East and West Branches of the Penobscot River.
  • D. Shapleigh, Maine
    Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
  • E. Enfield, Maine
    Enfield, Maine is a small rural town in northeastern Maine known for its lakes, forests, and outdoor recreation opportunities.
  • 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: Weeks Mills, Maine
Triple: [China, Maine, hasZIPCodeArea, Weeks Mills, Maine]
Generated description
Weeks Mills, Maine is a small village within the town of China in Kennebec County, known for its rural character and historic mill origins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weeks Mills, Maine
Target entity description: Weeks Mills, Maine is a small village within the town of China in Kennebec County, known for its rural character and historic mill origins.
  • A. Westfield, Maine
    Westfield, Maine is a small rural town located in northern Maine within Aroostook County.
  • B. Brownfield, Maine
    Brownfield, Maine is a small rural town in western Maine known for its scenic landscapes, outdoor recreation, and proximity to the White Mountains.
  • C. Medway, Maine
    Medway, Maine is a small rural town in northern Maine located near the confluence of the East and West Branches of the Penobscot River.
  • D. Shapleigh, Maine
    Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
  • E. Enfield, Maine
    Enfield, Maine is a small rural town in northeastern Maine known for its lakes, forests, and outdoor recreation opportunities.
  • 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_69c68856d7808190ab33ee914640281b completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbc30fdc81909244d83c8178755c completed March 27, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a161f088190bbc3c4e2815fa929 completed March 28, 2026, 5:41 a.m.
NEDg Description generation batch_69c76c64fb908190ae2c7877ea18f47f completed March 28, 2026, 5:51 a.m.
NED2 Entity disambiguation (via description) batch_69c76cd889d88190b6998b3fd9f8e61c completed March 28, 2026, 5:53 a.m.
Created at: March 27, 2026, 2:32 p.m.