Triple

T11742212
Position Surface form Disambiguated ID Type / Status
Subject St. Peter’s Parish, Harpers Ferry E279182 entity
Predicate county P75 FINISHED
Object Jefferson County E307660 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: Jefferson County | Statement: [St. Peter’s Parish, Harpers Ferry, county, Jefferson County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jefferson County
Context triple: [St. Peter’s Parish, Harpers Ferry, county, Jefferson County]
  • A. Jefferson County
    Jefferson County is a rural county in central Oregon known for its agricultural economy, high desert landscapes, and proximity to the Cascade Range.
  • B. Jefferson County
    Jefferson County is a populous county in central Alabama that includes the city of Birmingham, the state's largest city and economic hub.
  • C. Jefferson County chosen
    Jefferson County is a county in the eastern panhandle of West Virginia known for its historic towns, Civil War sites, and proximity to the Shenandoah and Potomac Rivers.
  • D. Jefferson County
    Jefferson County is a rural county in the Florida Panhandle known for its historic towns, agriculture, and natural landscapes.
  • E. Jefferson County
    Jefferson County is a rural county in southwestern Mississippi known for its small population, agricultural landscape, and historic communities.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f191388190bd6ef7e80c41ca48 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f457f7be0081908f8e1760cc7b8294 completed May 1, 2026, 7:36 a.m.
Created at: April 8, 2026, 9:41 p.m.