Triple

T14432021
Position Surface form Disambiguated ID Type / Status
Subject Bluemont, Virginia E357857 entity
Predicate formerName P65 FINISHED
Object Snickersville
Snickersville was the historic name of the rural village now known as Bluemont in Loudoun County, Virginia.
E1098818 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: Snickersville | Statement: [Bluemont, Virginia, formerName, Snickersville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snickersville
Context triple: [Bluemont, Virginia, formerName, Snickersville]
  • A. Snowville
    Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
  • B. Maxville
    Maxville is a small unincorporated community located in the state of Missouri in the United States.
  • C. Blissville
    Blissville is a small, historically industrial neighborhood in western Queens, New York City, known for its proximity to major rail yards and cemeteries.
  • D. Nollville
    Nollville is an unincorporated rural community located in Berkeley County, West Virginia, United States.
  • E. Nasonville
    Nasonville is a village and census-designated place in the town of Burrillville in northern Rhode Island.
  • 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: Snickersville
Triple: [Bluemont, Virginia, formerName, Snickersville]
Generated description
Snickersville was the historic name of the rural village now known as Bluemont in Loudoun County, Virginia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Snickersville
Target entity description: Snickersville was the historic name of the rural village now known as Bluemont in Loudoun County, Virginia.
  • A. Snowville
    Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
  • B. Maxville
    Maxville is a small unincorporated community located in the state of Missouri in the United States.
  • C. Blissville
    Blissville is a small, historically industrial neighborhood in western Queens, New York City, known for its proximity to major rail yards and cemeteries.
  • D. Nollville
    Nollville is an unincorporated rural community located in Berkeley County, West Virginia, United States.
  • E. Nasonville
    Nasonville is a village and census-designated place in the town of Burrillville in northern Rhode Island.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914570f08190b1c7c1c57a0cb476 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd3e6c48190b4fc3794202a0c3f completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5de2ebac81908042f6696400a74d completed May 8, 2026, 3:52 a.m.
NED2 Entity disambiguation (via description) batch_69fd5e6927c88190add8d31989bec043 completed May 8, 2026, 3:54 a.m.
Created at: April 10, 2026, 1:18 a.m.