Triple

T8364214
Position Surface form Disambiguated ID Type / Status
Subject Borough of Arendtsville E197083 entity
Predicate county P75 FINISHED
Object Adams County E570040 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: Adams County | Statement: [Borough of Arendtsville, county, Adams County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adams County
Context triple: [Borough of Arendtsville, county, Adams County]
  • A. Adams County
    Adams County is a largely rural county in eastern Washington State known for its agricultural production, particularly wheat and potatoes.
  • B. Adams County
    Adams County is a rural county in central Wisconsin known for its forests, lakes, and outdoor recreation.
  • C. Adams County
    Adams County is a rural county in the southwestern part of the U.S. state of Iowa, known for its agricultural landscape and small communities.
  • D. Adams County chosen
    Adams County is a county in south-central Pennsylvania known for encompassing the historic town of Gettysburg and the Gettysburg National Military Park.
  • E. Grant County
    Grant County is a county in central Washington State known for its agricultural production, reservoirs, and outdoor recreation areas.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808a67f88190849152102bfeb574 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf422648208190beaa6eaef4173f21 completed April 3, 2026, 4:29 a.m.
Created at: March 30, 2026, 6 p.m.