Triple

T2330697
Position Surface form Disambiguated ID Type / Status
Subject Thomaston, Maine E44194 entity
Predicate adjacentTo P224 FINISHED
Object Warren, Maine
Warren, Maine is a small town in Knox County known for its rural character and location along the St. George River in midcoast Maine.
 E609886 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: Warren, Maine | Statement: [Thomaston, Maine, adjacentTo, Warren, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Warren, Maine
Context triple: [Thomaston, Maine, adjacentTo, Warren, Maine]
  • A. Gray, Maine
    Gray, Maine is a small New England town in southern Maine known for its rural character, proximity to Portland, and the Maine Wildlife Park.
  • B. Hampden, Maine
    Hampden, Maine is a small town in Penobscot County known as the birthplace of 19th-century social reformer Dorothea Dix.
  • C. Clinton, Maine
    Clinton, Maine is a small rural town in central Maine known for its agricultural character and location along the Sebasticook River.
  • D. Greene, Maine
    Greene, Maine is a small rural town in Androscoggin County known for its quiet residential character and proximity to the Lewiston–Auburn area.
  • 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: Warren, Maine
Triple: [Thomaston, Maine, adjacentTo, Warren, Maine]
Generated description
Warren, Maine is a small town in Knox County known for its rural character and location along the St. George River in midcoast Maine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Warren, Maine
Target entity description: Warren, Maine is a small town in Knox County known for its rural character and location along the St. George River in midcoast Maine.
  • A. Gray, Maine
    Gray, Maine is a small New England town in southern Maine known for its rural character, proximity to Portland, and the Maine Wildlife Park.
  • B. Hampden, Maine
    Hampden, Maine is a small town in Penobscot County known as the birthplace of 19th-century social reformer Dorothea Dix.
  • C. Clinton, Maine
    Clinton, Maine is a small rural town in central Maine known for its agricultural character and location along the Sebasticook River.
  • D. Greene, Maine
    Greene, Maine is a small rural town in Androscoggin County known for its quiet residential character and proximity to the Lewiston–Auburn area.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc669956881908b8d9784d6a06acf completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69c6eebbef8c8190ad00760312e40924 completed March 27, 2026, 8:55 p.m.
NEDg Description generation batch_69c6f09ea58c8190bfd8a183581b5a5a completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f1a0935881908afc30ce76bdf76f completed March 27, 2026, 9:07 p.m.
Created at: March 4, 2026, 7:51 p.m.