Triple

T7495980
Position Surface form Disambiguated ID Type / Status
Subject Prince’s Bay E177129 entity
Predicate neighboringArea P33892 FINISHED
Object Pleasant Plains E152590 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: Pleasant Plains | Statement: [Prince’s Bay, neighboringArea, Pleasant Plains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pleasant Plains
Context triple: [Prince’s Bay, neighboringArea, Pleasant Plains]
  • A. Pleasant Plains chosen
    Pleasant Plains is a residential neighborhood on Staten Island’s South Shore known for its suburban character and access to the Staten Island Railway.
  • B. Pleasant Plains
    Pleasant Plains is a residential neighborhood in Washington, D.C., known for its historic rowhouses and proximity to Howard University.
  • C. Cross Plains
    Cross Plains is a small village in south-central Wisconsin that forms part of the Madison metropolitan area.
  • D. Town of Plains
    The Town of Plains is a small rural community in Georgia best known as the hometown of former U.S. President Jimmy Carter.
  • E. Lancaster Prairie
    Lancaster Prairie is a geographic region in northern Texas that encompasses the area around the city of Lancaster.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f57c86948190aa8ee765bd497850 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c8686cc8190bb1f7b09cdbebcf7 completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:43 p.m.