Triple

T13021784
Position Surface form Disambiguated ID Type / Status
Subject Cockeysville, Maryland E326188 entity
Predicate hasHistoricSite P1098 FINISHED
Object Stone Hall
Stone Hall is a historic estate and landmark property located in Cockeysville, Maryland.
 E1014804 NE FINISHED

How this triple was built (4 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: Stone Hall | Statement: [Cockeysville, Maryland, hasHistoricSite, Stone Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stone Hall
Context triple: [Cockeysville, Maryland, hasHistoricSite, Stone Hall]
  • A. Stone Hall
    Stone Hall is a historic civic chamber within the town hall complex of King’s Lynn, England, traditionally used for official meetings and public functions.
  • B. Green Hall
    Green Hall is the main academic and administrative building that houses the University of Kansas School of Law.
  • C. Hall’s Croft
    Hall’s Croft is a historic timber-framed house in Stratford-upon-Avon, best known as the former home of William Shakespeare’s daughter Susanna and her husband, physician John Hall.
  • D. Checker Hall
    Checker Hall is a surviving medieval building that once formed part of the historic Abingdon Abbey complex in Oxfordshire, England.
  • E. Bird Hall
    Bird Hall is a dedicated ornithological exhibit at the Carnegie Museum of Natural History showcasing diverse bird species and their natural history.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stone Hall
Triple: [Cockeysville, Maryland, hasHistoricSite, Stone Hall]
Generated description
Stone Hall is a historic estate and landmark property located in Cockeysville, Maryland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stone Hall
Target entity description: Stone Hall is a historic estate and landmark property located in Cockeysville, Maryland.
  • A. Stone Hall
    Stone Hall is a historic civic chamber within the town hall complex of King’s Lynn, England, traditionally used for official meetings and public functions.
  • B. Green Hall
    Green Hall is the main academic and administrative building that houses the University of Kansas School of Law.
  • C. Hall’s Croft
    Hall’s Croft is a historic timber-framed house in Stratford-upon-Avon, best known as the former home of William Shakespeare’s daughter Susanna and her husband, physician John Hall.
  • D. Checker Hall
    Checker Hall is a surviving medieval building that once formed part of the historic Abingdon Abbey complex in Oxfordshire, England.
  • E. Bird Hall
    Bird Hall is a dedicated ornithological exhibit at the Carnegie Museum of Natural History showcasing diverse bird species and their natural history.
  • F. None of above. chosen

Provenance (5 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ed05e9c8190a4f208662bca0602 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c119e19c81908ae2b1caff6f2f32 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c20aff008190a1a10ac02ed08726 completed May 3, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6c2de143c81908164f5df2b92e5c3 completed May 3, 2026, 3:37 a.m.
Created at: April 9, 2026, 8:52 p.m.