Triple

T10051465
Position Surface form Disambiguated ID Type / Status
Subject Mary Washington House E207757 entity
Predicate city P40 FINISHED
Object Fredericksburg E34946 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: Fredericksburg | Statement: [Mary Washington House, city, Fredericksburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fredericksburg
Context triple: [Mary Washington House, city, Fredericksburg]
  • A. Fredericksburg chosen
    Fredericksburg is a historic independent city in Virginia known for its significant Civil War battlefields and well-preserved colonial-era downtown.
  • B. Fredericksburg
    Fredericksburg is a historic central Texas town known for its German heritage, wineries, and role as a gateway to the scenic Hill Country region.
  • C. Manassas City
    Manassas City is an independent city in northern Virginia known for its historic Civil War battlefields and suburban residential communities.
  • D. Manassas
    Manassas is an independent city in Northern Virginia best known as the site of two major American Civil War battles and now a suburban community within the Washington, D.C. metropolitan area.
  • E. Manassas
    Manassas is a small city located in Tattnall County in southeastern Georgia, United States.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf8fb23c8190b48b30cb2368dc1f completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317367204819097d3ed6a72a0f8b5 completed April 6, 2026, 2:15 a.m.
Created at: March 30, 2026, 8:56 p.m.