Triple

T7744768
Position Surface form Disambiguated ID Type / Status
Subject Mineral, Virginia E175598 entity
Predicate nearbyCity P350 FINISHED
Object Louisa, Virginia
Louisa, Virginia is a small historic town in central Virginia that serves as the county seat of Louisa County.
E686607 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: Louisa, Virginia | Statement: [Mineral, Virginia, nearbyCity, Louisa, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louisa, Virginia
Context triple: [Mineral, Virginia, nearbyCity, Louisa, Virginia]
  • A. Pocahontas, Virginia
    Pocahontas, Virginia is a small historic coal-mining town in southwestern Virginia known for its role in the early development of the coal industry in Appalachia.
  • B. Wilson, Virginia
    Wilson, Virginia is an unincorporated rural community located in Dinwiddie County in the Commonwealth of Virginia.
  • C. Roanoke, Virginia
    Roanoke, Virginia is an independent city in western Virginia known as the commercial and cultural hub of the Roanoke Valley in the Blue Ridge Mountains.
  • D. Ivy, Virginia
    Ivy, Virginia is a small unincorporated community in Albemarle County known for its rural residential character near Charlottesville.
  • E. Virginia
    Virginia is a small community located within the town of Georgina in Ontario, Canada.
  • 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: Louisa, Virginia
Triple: [Mineral, Virginia, nearbyCity, Louisa, Virginia]
Generated description
Louisa, Virginia is a small historic town in central Virginia that serves as the county seat of Louisa County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Louisa, Virginia
Target entity description: Louisa, Virginia is a small historic town in central Virginia that serves as the county seat of Louisa County.
  • A. Pocahontas, Virginia
    Pocahontas, Virginia is a small historic coal-mining town in southwestern Virginia known for its role in the early development of the coal industry in Appalachia.
  • B. Wilson, Virginia
    Wilson, Virginia is an unincorporated rural community located in Dinwiddie County in the Commonwealth of Virginia.
  • C. Roanoke, Virginia
    Roanoke, Virginia is an independent city in western Virginia known as the commercial and cultural hub of the Roanoke Valley in the Blue Ridge Mountains.
  • D. Ivy, Virginia
    Ivy, Virginia is a small unincorporated community in Albemarle County known for its rural residential character near Charlottesville.
  • E. Virginia
    Virginia is a small community located within the town of Georgina in Ontario, Canada.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70389e9548190a57b5370f4b9fee9 completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be4cdb148190af3ebaf9ac35b641 completed March 29, 2026, 5:53 a.m.
NEDg Description generation batch_69c8c41b2880819097962e23bbc0262b completed March 29, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_69c8c47c421c8190ab22fc852f52beb8 completed March 29, 2026, 6:19 a.m.
Created at: March 27, 2026, 4:07 p.m.