Triple

T13867776
Position Surface form Disambiguated ID Type / Status
Subject Lake Anna E333369 entity
Predicate locatedNear P294 FINISHED
Object Mineral, Virginia E175598 NE FINISHED

How this triple was built (2 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: Mineral, Virginia | Statement: [Lake Anna, locatedNear, Mineral, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mineral, Virginia
Context triple: [Lake Anna, locatedNear, Mineral, Virginia]
  • A. Mineral, Virginia chosen
    Mineral, Virginia is a small town in Louisa County best known as the epicenter of the 2011 Virginia earthquake.
  • B. McDowell, Virginia
    McDowell, Virginia is a small unincorporated community in Highland County best known as the site of a significant American Civil War battle in 1862.
  • C. Moneta, Virginia
    Moneta, Virginia is a small lakeside community in Bedford County known as a gateway to Smith Mountain Lake and part of the greater Lynchburg metropolitan region.
  • D. White Stone, Virginia
    White Stone, Virginia is a small town located on the Northern Neck peninsula in eastern Virginia, known for its proximity to the Rappahannock River and Chesapeake Bay.
  • E. Wilson, Virginia
    Wilson, Virginia is an unincorporated rural community located in Dinwiddie County in the Commonwealth of Virginia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c419d481909230e8879b6dab5c completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c1039128819086cfe9f966b9f142 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.