Triple

T2798748
Position Surface form Disambiguated ID Type / Status
Subject Vista House E53100 entity
Predicate location P40 FINISHED
Object Crown Point E69463 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: Crown Point | Statement: [Vista House, location, Crown Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crown Point
Context triple: [Vista House, location, Crown Point]
  • A. Crown Point chosen
    Crown Point is a prominent scenic overlook in Oregon offering sweeping views of the Columbia River Gorge and home to the historic Vista House.
  • B. Crown Point, New York
    Crown Point, New York is a small town on the western shore of Lake Champlain known for its historic Revolutionary War-era forts and scenic Adirondack setting.
  • C. Crown Point, Indiana
    Crown Point, Indiana is a historic city in northwest Indiana known for its classic courthouse square and role as the county’s governmental and commercial hub.
  • D. Canton
    Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
  • E. Canton
    Canton is a suburban town in Norfolk County, Massachusetts, located southwest of Boston and known for its residential character and local historic sites.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abddf31eec8190a898713e53d1aa5c completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce92b40c8190a6ed3e6c06f15c79 completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:58 p.m.