Triple

T19054908
Position Surface form Disambiguated ID Type / Status
Subject The Mount E466366 entity
Predicate city P40 FINISHED
Object Emmitsburg NE NERFINISHED

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: Emmitsburg | Statement: [The Mount, city, Emmitsburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmitsburg
Context triple: [The Mount, city, Emmitsburg]
  • A. Emmitsburg, Maryland chosen
    Emmitsburg, Maryland is a small historic town in northern Frederick County known for its religious institutions, including the nearby Mount St. Mary’s University and the National Shrine of Saint Elizabeth Ann Seton.
  • B. Ortelsburg
    Ortelsburg is the former German name for the town of Szczytno in northeastern Poland, historically part of East Prussia.
  • C. Hughesville
    Hughesville is a small borough in north-central Pennsylvania known for its rural character and community events such as the annual Lycoming County Fair.
  • D. Thurmont, Maryland
    Thurmont, Maryland is a small town in northern Frederick County known as a gateway to the Catoctin Mountains and nearby Catoctin Mountain Park and Cunningham Falls State Park.
  • E. Boonsboro, Maryland
    Boonsboro, Maryland is a small historic town in Washington County known for its proximity to Civil War sites and its location along the Appalachian Trail.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc049f64819093ae9fda26a49bd2 completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.