Triple

T9095127
Position Surface form Disambiguated ID Type / Status
Subject Charles City County, Virginia E217998 entity
Predicate seat P75 FINISHED
Object Charles City
Charles City is a small unincorporated community in eastern Virginia that serves as the administrative center of historic Charles City County.
E780160 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: Charles City | Statement: [Charles City County, Virginia, seat, Charles City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles City
Context triple: [Charles City County, Virginia, seat, Charles City]
  • A. Charles City
    Charles City is a small northeastern Iowa community known historically as a manufacturing and transportation hub along the Cedar River.
  • B. Petersburg
    Petersburg is a small fishing and logging town located on Mitkof Island in Southeast Alaska, known for its strong Norwegian heritage and maritime economy.
  • C. Hampton
    Hampton is a suburban town in the London Borough of Richmond upon Thames, England, situated on the north bank of the River Thames.
  • D. Hampton
    Hampton is a residential suburb and developing township located within the city of Peterborough in Cambridgeshire, England.
  • E. Hampton
    Hampton is a suburban railway station in Melbourne, Australia, serving the bayside suburb of Hampton on the city’s Sandringham line.
  • 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: Charles City
Triple: [Charles City County, Virginia, seat, Charles City]
Generated description
Charles City is a small unincorporated community in eastern Virginia that serves as the administrative center of historic Charles City County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charles City
Target entity description: Charles City is a small unincorporated community in eastern Virginia that serves as the administrative center of historic Charles City County.
  • A. Charles City
    Charles City is a small northeastern Iowa community known historically as a manufacturing and transportation hub along the Cedar River.
  • B. Petersburg
    Petersburg is a small fishing and logging town located on Mitkof Island in Southeast Alaska, known for its strong Norwegian heritage and maritime economy.
  • C. Hampton
    Hampton is a suburban town in the London Borough of Richmond upon Thames, England, situated on the north bank of the River Thames.
  • D. Hampton
    Hampton is a residential suburb and developing township located within the city of Peterborough in Cambridgeshire, England.
  • E. Hampton
    Hampton is a suburban railway station in Melbourne, Australia, serving the bayside suburb of Hampton on the city’s Sandringham line.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b4a2e0819092f4eae8b1d21f33 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0478fc0c4819090de2b761804166f completed April 3, 2026, 11:04 p.m.
NEDg Description generation batch_69d049058dec81909854965276252808 completed April 3, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69d049913b7481909ccbaf4999e37c06 completed April 3, 2026, 11:13 p.m.
Created at: March 30, 2026, 7:14 p.m.