Triple

T2178343
Position Surface form Disambiguated ID Type / Status
Subject Moose Pond E48583 entity
Predicate locatedNearTown P3883 FINISHED
Object Sweden, Maine
Sweden, Maine is a small rural town in Oxford County known for its scenic lakeside setting and outdoor recreation opportunities in western Maine.
 E243800 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: Sweden, Maine | Statement: [Moose Pond, locatedNearTown, Sweden, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sweden, Maine
Context triple: [Moose Pond, locatedNearTown, Sweden, Maine]
  • A. Denmark, Maine
    Denmark, Maine is a small rural town in Oxford County known for its lakeside setting in western Maine’s Lakes Region.
  • B. New Sweden, Maine
    New Sweden, Maine is a small rural town in northern Maine known for its strong Swedish-American heritage and cultural traditions.
  • C. Norway, Maine
    Norway, Maine is a small New England town known for its historic downtown, lakes and outdoor recreation, located in western Maine.
  • D. Strong, Maine
    Strong, Maine is a small rural town in western Maine known historically for its lumber and toothpick manufacturing industries.
  • E. Hälsingland
    Hälsingland is a historical province in central Sweden known for its traditional decorated farmhouses, forests, and cultural heritage.
  • 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: Sweden, Maine
Triple: [Moose Pond, locatedNearTown, Sweden, Maine]
Generated description
Sweden, Maine is a small rural town in Oxford County known for its scenic lakeside setting and outdoor recreation opportunities in western Maine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sweden, Maine
Target entity description: Sweden, Maine is a small rural town in Oxford County known for its scenic lakeside setting and outdoor recreation opportunities in western Maine.
  • A. Denmark, Maine
    Denmark, Maine is a small rural town in Oxford County known for its lakeside setting in western Maine’s Lakes Region.
  • B. New Sweden, Maine
    New Sweden, Maine is a small rural town in northern Maine known for its strong Swedish-American heritage and cultural traditions.
  • C. Norway, Maine
    Norway, Maine is a small New England town known for its historic downtown, lakes and outdoor recreation, located in western Maine.
  • D. Strong, Maine
    Strong, Maine is a small rural town in western Maine known historically for its lumber and toothpick manufacturing industries.
  • E. Hälsingland
    Hälsingland is a historical province in central Sweden known for its traditional decorated farmhouses, forests, and cultural heritage.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc5af20808190902031d8c0bba376 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae653de18481909c3521e060540a38 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae65d419048190ad723d21ab7f1cab completed March 9, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69ae666e71908190b50be2cac5bdfa28 completed March 9, 2026, 6:19 a.m.
Created at: March 4, 2026, 7:45 p.m.