Triple

T8171417
Position Surface form Disambiguated ID Type / Status
Subject Front Royal, Virginia E190828 entity
Predicate near P350 FINISHED
Object Luray, Virginia E409940 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: Luray, Virginia | Statement: [Front Royal, Virginia, near, Luray, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luray, Virginia
Context triple: [Front Royal, Virginia, near, Luray, Virginia]
  • A. Luray, Virginia chosen
    Luray, Virginia is a small town in the Shenandoah Valley best known as the gateway to the famous Luray Caverns and nearby Shenandoah National Park.
  • B. Matoaca, Virginia
    Matoaca, Virginia is a small unincorporated community in Chesterfield County known for its residential character and proximity to the city of Petersburg.
  • C. Buena Vista, Virginia
    Buena Vista, Virginia is an independent city in the Shenandoah Valley of Virginia known for its small-town character and proximity to the Blue Ridge Mountains.
  • D. Roseland, Virginia
    Roseland, Virginia is an unincorporated rural community in central Virginia known for its scenic Blue Ridge Mountain setting and proximity to outdoor recreation areas.
  • E. Tazewell, Virginia
    Tazewell, Virginia is a small town in southwestern Virginia that serves as an administrative and commercial hub for the surrounding rural region.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb48056d0c819094575090a41e0083 completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf5cfd588190b12ef9b5799ffd88 completed April 1, 2026, 6:46 a.m.
Created at: March 30, 2026, 5:39 p.m.