Triple

T16862437
Position Surface form Disambiguated ID Type / Status
Subject Empress Column E409949 entity
Predicate county P75 FINISHED
Object Page County 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: Page County | Statement: [Empress Column, county, Page County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Page County
Context triple: [Empress Column, county, Page County]
  • A. Page County chosen
    Page County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • B. Nicholas County
    Nicholas County is a largely rural county in central West Virginia known for its mountainous terrain, outdoor recreation areas, and small communities.
  • C. Pocahontas County
    Pocahontas County is a largely rural, mountainous county in eastern West Virginia known for its outdoor recreation, scenic beauty, and role as the birthplace of several major rivers.
  • D. Bedford County
    Bedford County is a county-level jurisdiction in south-central Pennsylvania, known for its rural landscapes, historic sites, and role as a transportation corridor through the Appalachian region.
  • E. York County
    York County is a county in southeastern Virginia that forms part of the Hampton Roads metropolitan region along the Chesapeake Bay.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b50488fc8190b3b646543c3ba476 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:24 a.m.