Triple

T7039428
Position Surface form Disambiguated ID Type / Status
Subject Rutland, Vermont E163469 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, Vermont, isCountySeatOf, Rutland County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rutland County
Context triple: [Rutland, Vermont, 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e22426508190ad7a17d14a086a3e completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7943fe4fc819087bbcc724deed80a completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:36 p.m.