Triple

T3226727
Position Surface form Disambiguated ID Type / Status
Subject Henrico County E67640 entity
Predicate contains P35 FINISHED
Object Glen Allen
Glen Allen is a suburban community in central Virginia, known as part of the Greater Richmond metropolitan area.
 E414307 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: Glen Allen | Statement: [Henrico County, contains, Glen Allen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Glen Allen
Context triple: [Henrico County, contains, Glen Allen]
  • A. Petersburg, Virginia
    Petersburg, Virginia is an independent city in south-central Virginia known for its strategic importance and extensive trench warfare during the American Civil War.
  • B. Richmond
    Richmond is a town in southwest London, England, known for its historic riverside, expansive parkland, and affluent residential character.
  • C. Richmond
    Richmond is an industrial and residential city in California’s East Bay region, known for its waterfront along San Francisco Bay and its diverse, working-class communities.
  • D. Richmond
    Richmond is a masculine given name of English origin that has been borne by various notable figures, including military leaders and public officials.
  • E. Richmond
    Richmond is a historic market town in North Yorkshire, England, known for its Norman castle, cobbled marketplace, and scenic location on the River Swale.
  • 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: Glen Allen
Triple: [Henrico County, contains, Glen Allen]
Generated description
Glen Allen is a suburban community in central Virginia, known as part of the Greater Richmond metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Glen Allen
Target entity description: Glen Allen is a suburban community in central Virginia, known as part of the Greater Richmond metropolitan area.
  • A. Petersburg, Virginia
    Petersburg, Virginia is an independent city in south-central Virginia known for its strategic importance and extensive trench warfare during the American Civil War.
  • B. Richmond
    Richmond is an industrial and residential city in California’s East Bay region, known for its waterfront along San Francisco Bay and its diverse, working-class communities.
  • C. Richmond
    Richmond is an Australian federal electoral division in northern New South Wales that includes coastal communities such as Tweed Heads and Byron Bay.
  • D. Richmond
    Richmond is a town in southwest London, England, known for its historic riverside, expansive parkland, and affluent residential character.
  • E. Richmond
    Richmond is a masculine given name of English origin that has been borne by various notable figures, including military leaders and public officials.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb4cd3481908af8a2c9b6c0742d completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576730b24819081273a6815087f73 completed March 14, 2026, 2:53 p.m.
NEDg Description generation batch_69b5773ed3388190a299558ea2d889a6 completed March 14, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_69b578003dd48190b9264fd834cffbdf completed March 14, 2026, 3 p.m.
Created at: March 8, 2026, 3:08 p.m.