Triple

T757510
Position Surface form Disambiguated ID Type / Status
Subject Terminus E15589 entity
Predicate replacedBy P101 FINISHED
Object Marthasville E16951 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: Marthasville | Statement: [Terminus, replacedBy, Marthasville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marthasville
Context triple: [Terminus, replacedBy, Marthasville]
  • A. Marthasville chosen
    Marthasville was the former name of the city now known as Atlanta, Georgia, during its early 19th-century development as a railroad terminus.
  • B. Maynardville
    Maynardville is a small city in Union County, Tennessee, known as the county seat and part of the greater Knoxville metropolitan region.
  • C. Matoaka, West Virginia
    Matoaka, West Virginia, is a small incorporated town in southern West Virginia that developed as a coal-mining community in the Appalachian region.
  • D. Bayard, West Virginia
    Bayard, West Virginia is a small town in Grant County known for its location near the headwaters of the Potomac River and the historic Fairfax Stone.
  • E. Warrenton
    Warrenton is a small historic town in Fauquier County that serves as a commercial and civic hub for the surrounding rural areas of Northern 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a66c2e108190a754c60d2eac6676 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b83948b48190af0349dd73ec3951 completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:37 p.m.