Triple

T517316
Position Surface form Disambiguated ID Type / Status
Subject Androscoggin County, Maine E10735 entity
Predicate contains P35 FINISHED
Object Turner, Maine
Turner, Maine is a small rural town in the western part of the state known for its agricultural character and scenic setting along the Androscoggin River.
 E194209 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: Turner, Maine | Statement: [Androscoggin County, Maine, contains, Turner, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Turner, Maine
Context triple: [Androscoggin County, Maine, contains, Turner, Maine]
  • A. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • B. Holden, Maine
    Holden, Maine is a small New England town located near Bangor in eastern Maine, known for its rural character and scenic, wooded landscape.
  • C. Veazie, Maine
    Veazie, Maine is a small residential town in eastern Maine located along the Penobscot River near the city of Bangor.
  • D. Hudson, Maine
    Hudson, Maine is a small rural town located in Penobscot County in central Maine, known for its quiet, forested landscape and close-knit community.
  • E. Temple, Maine
    Temple, Maine is a small rural town in western Maine known for its forested landscape and quiet, close-knit community.
  • 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: Turner, Maine
Triple: [Androscoggin County, Maine, contains, Turner, Maine]
Generated description
Turner, Maine is a small rural town in the western part of the state known for its agricultural character and scenic setting along the Androscoggin River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Turner, Maine
Target entity description: Turner, Maine is a small rural town in the western part of the state known for its agricultural character and scenic setting along the Androscoggin River.
  • A. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • B. Holden, Maine
    Holden, Maine is a small New England town located near Bangor in eastern Maine, known for its rural character and scenic, wooded landscape.
  • C. Veazie, Maine
    Veazie, Maine is a small residential town in eastern Maine located along the Penobscot River near the city of Bangor.
  • D. Hudson, Maine
    Hudson, Maine is a small rural town located in Penobscot County in central Maine, known for its quiet, forested landscape and close-knit community.
  • E. Temple, Maine
    Temple, Maine is a small rural town in western Maine known for its forested landscape and quiet, close-knit community.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f19d81d48190bd65a02059fc8473 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad8a8f35d48190a18cf924bf5f9e45 completed March 8, 2026, 2:41 p.m.
NEDg Description generation batch_69ad95738df081909e56178cc1e0ab74 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97a1a44c8190a9d8fe05837ec9ff completed March 8, 2026, 3:37 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.