Triple

T21372200
Position Surface form Disambiguated ID Type / Status
Subject Buxton, Maine E527093 entity
Predicate hasVillage P4011 FINISHED
Object Groveville
Groveville is a small village within the town of Buxton in York County, Maine.
E1481661 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: Groveville | Statement: [Buxton, Maine, hasVillage, Groveville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groveville
Context triple: [Buxton, Maine, hasVillage, Groveville]
  • A. Gilbertville
    Gilbertville is a small city in Black Hawk County, Iowa, known for its close-knit community and rural Midwestern character.
  • B. Yatesville
    Yatesville is a small town located in the U.S. state of Georgia.
  • C. Yatesville
    Yatesville is a small borough in Luzerne County, Pennsylvania, situated near the city of Pittston in the northeastern part of the state.
  • D. Eagleville
    Eagleville is a small city located in Rutherford County, Tennessee, known for its rural character and close-knit community.
  • E. Eagleville
    Eagleville is a small village within the town of Mansfield in northeastern Connecticut, known for its residential character and proximity to the University of Connecticut in nearby Storrs.
  • 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: Groveville
Triple: [Buxton, Maine, hasVillage, Groveville]
Generated description
Groveville is a small village within the town of Buxton in York County, Maine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Groveville
Target entity description: Groveville is a small village within the town of Buxton in York County, Maine.
  • A. Gilbertville
    Gilbertville is a small city in Black Hawk County, Iowa, known for its close-knit community and rural Midwestern character.
  • B. Yatesville
    Yatesville is a small town located in the U.S. state of Georgia.
  • C. Yatesville
    Yatesville is a small borough in Luzerne County, Pennsylvania, situated near the city of Pittston in the northeastern part of the state.
  • D. Eagleville
    Eagleville is a small city located in Rutherford County, Tennessee, known for its rural character and close-knit community.
  • E. Eagleville
    Eagleville is a small village within the town of Mansfield in northeastern Connecticut, known for its residential character and proximity to the University of Connecticut in nearby Storrs.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0b0d5ec81908da8f38380dbdc7a completed April 22, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09b41eba7881909a2c7fcbd672951c completed May 17, 2026, 12:27 p.m.
NEDg Description generation batch_6a09b853a15c81908e00c651326e9082 completed May 17, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_6a09b90c31fc8190922f4470f949b5e7 completed May 17, 2026, 12:48 p.m.
Created at: April 16, 2026, 5:10 p.m.