Triple

T22465870
Position Surface form Disambiguated ID Type / Status
Subject North Hill E555350 entity
Predicate county P75 FINISHED
Object Lawrence 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: Lawrence County | Statement: [North Hill, county, Lawrence County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lawrence County
Context triple: [North Hill, county, Lawrence County]
  • A. Lawrence County
    Lawrence County is a county in western Pennsylvania that forms part of the greater Pittsburgh metropolitan region.
  • B. Lawrence County
    Lawrence County is a rural county in northern Alabama known for its agricultural communities, outdoor recreation areas, and proximity to the Tennessee River.
  • C. Lawrence County
    Lawrence County is a rural county in central Mississippi known for its small communities, forests, and agricultural landscape.
  • D. Lawrence County
    Lawrence County is a county in southern Indiana known for its limestone industry and small towns such as Oolitic and Bedford.
  • E. Lawrence County
    Lawrence County is a county in western South Dakota known for including part of the Black Hills region and the historic city of Deadwood.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b837ec081909c4e44d37e8b2acd completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.