Triple

T20865798
Position Surface form Disambiguated ID Type / Status
Subject Schuyler Community Center E513759 entity
Predicate county P75 FINISHED
Object Nelson 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: Nelson County | Statement: [Schuyler Community Center, county, Nelson County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nelson County
Context triple: [Schuyler Community Center, county, Nelson County]
  • A. Nelson County
    Nelson County is a rural county in northeastern North Dakota known for its agricultural landscape and small communities.
  • B. Nelson County
    Nelson County is a county in central Kentucky known for its historic towns and prominent role in the state's bourbon whiskey production.
  • C. Nelson County
    Nelson County is a rural county in central Virginia known for its Blue Ridge Mountain scenery, outdoor recreation, and historic small communities.
  • D. Carlisle County
    Carlisle County is a rural county in far western Kentucky, United States, known for its agricultural landscape and location within the Jackson Purchase region.
  • E. Pocahontas County
    Pocahontas County is a largely rural, mountainous county in eastern West Virginia known for its outdoor recreation, scenic beauty, and role as the birthplace of several major rivers.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c45fbfc88190914c5133aa4b242c completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.