Triple

T13803384
Position Surface form Disambiguated ID Type / Status
Subject Rutland City E331696 entity
Predicate isCountySeatOf P383 FINISHED
Object Rutland County E626505 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: Rutland County | Statement: [Rutland City, isCountySeatOf, Rutland County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rutland County
Context triple: [Rutland City, isCountySeatOf, Rutland County]
  • A. Rutland County chosen
    Rutland County is a county in central Vermont known for its mountainous terrain, outdoor recreation, and proximity to major ski areas.
  • B. Colchester County
    Colchester County is a regional municipality in north-central Nova Scotia, Canada, known for its mix of rural communities, agricultural lands, and the town of Truro as its commercial hub.
  • C. Rowan County
    Rowan County is a county in North Carolina that lies within the greater Charlotte metropolitan region.
  • D. Bradford County
    Bradford County is a largely rural county in northern Pennsylvania known for its agricultural landscape, small towns, and location along the New York state border.
  • E. Rockingham County
    Rockingham County is a North Carolina county that forms part of the Piedmont Triad region, known for its mix of rural communities, small towns, and manufacturing history.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8da594c81908cb878a8cc1b3a72 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.