Triple

T3618317
Position Surface form Disambiguated ID Type / Status
Subject Railroad Museum of Pennsylvania E76658 entity
Predicate county P75 FINISHED
Object Lancaster County E175416 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: Lancaster County | Statement: [Railroad Museum of Pennsylvania, county, Lancaster County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lancaster County
Context triple: [Railroad Museum of Pennsylvania, county, Lancaster County]
  • A. 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.
  • B. York County
    York County is a county in northern South Carolina that forms part of the greater Charlotte metropolitan region.
  • C. Lancaster County, Pennsylvania chosen
    Lancaster County, Pennsylvania is a historically rich, predominantly rural county best known for its large Amish community, farmland, and role as a center of Pennsylvania Dutch culture.
  • D. Page County
    Page County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • E. Rowan County
    Rowan County is a county in North Carolina that lies within the greater Charlotte metropolitan region.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2b72b3481909f4a09000d1815d9 completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331cc73881908033d001448f0b23 completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.