Triple

T12803821
Position Surface form Disambiguated ID Type / Status
Subject Liberty University E306090 entity
Predicate city P40 FINISHED
Object Lynchburg E78035 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: Lynchburg | Statement: [Liberty University, city, Lynchburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lynchburg
Context triple: [Liberty University, city, Lynchburg]
  • A. Lynchburg, Virginia chosen
    Lynchburg, Virginia is an independent city in central Virginia known for its historic downtown, hilltop views along the James River, and role as an educational and commercial hub for the surrounding region.
  • B. Lynchburg metropolitan area
    The Lynchburg metropolitan area is a regional urban and economic hub in central Virginia centered on the city of Lynchburg and its surrounding counties.
  • C. Glen Allen
    Glen Allen is a suburban community in central Virginia, known as part of the Greater Richmond metropolitan area.
  • D. Staunton, Virginia
    Staunton, Virginia is a historic independent city in the Shenandoah Valley known for its well-preserved downtown, cultural institutions, and as the birthplace of President Woodrow Wilson.
  • E. Covington
    Covington is a city in the Atlanta metropolitan area of Georgia, known for its historic town square and frequent use as a filming location for movies and television shows.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7e3be48190ba9159c9f1ac2ccd completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0e0e90881908f6e523754107e75 completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 5:30 p.m.