Triple

T17338630
Position Surface form Disambiguated ID Type / Status
Subject Chesapeake Group E421006 entity
Predicate stateExtent P8868 FINISHED
Object Virginia — NE ONDG

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: Virginia | Statement: [Chesapeake Group, stateExtent, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Virginia
Context triple: [Chesapeake Group, stateExtent, Virginia]
  • A. Virginia
    Virginia is a small community located within the town of Georgina in Ontario, Canada.
  • B. Virginia
    Virginia is a feminine given name of Latin origin, historically associated with notions of virtue and widely used in English-speaking countries.
  • C. Virginia
    Virginia is a gold mining town in South Africa’s Free State province, known for its role in the region’s mining industry and its location near the Sand River.
  • D. Virginia
    Virginia is a semi-rural suburb in the northern Adelaide region of South Australia, known for its market gardens and greenhouse horticulture.
  • E. Virginia
    "Virginia" is a tragic play by Italian dramatist Vittorio Alfieri that dramatizes themes of tyranny, virtue, and personal sacrifice in ancient Rome.
  • 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: Virginia
Triple: [Chesapeake Group, stateExtent, Virginia]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Virginia
Target entity description: Virginia is a U.S. state on the Atlantic coast known for its pivotal role in early American history, diverse landscapes from mountains to shoreline, and major metropolitan and military centers.
  • A. Virginia chosen
    Virginia is a U.S. state in the Mid-Atlantic and Southeastern regions, known for its pivotal role in American history, including being home to several early presidents and key Revolutionary and Civil War sites.
  • B. Virginia
    Virginia is a coastal township in Montserrado County, Liberia, known for its beaches and proximity to the capital, Monrovia.
  • C. Virginia
    Virginia is a gold mining town in South Africa’s Free State province, known for its role in the region’s mining industry and its location near the Sand River.
  • D. Virginia
    Virginia is a feminine given name of Latin origin, historically associated with notions of virtue and widely used in English-speaking countries.
  • E. Virginia
    Virginia is a suburb in the Darwin metropolitan area of Australia's Northern Territory, known for its semi-rural lifestyle and proximity to the city.
  • F. None of above.

Provenance (4 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a13dd44819091d296c764976dfe completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01954ecadc8190a6484ff0a207fe9b completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01964923248190b0c3548d90bc1dd9 in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:43 a.m.