Triple

T20256742
Position Surface form Disambiguated ID Type / Status
Subject Traveller E498721 entity
Predicate originalName P65 FINISHED
Object Greenbrier 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: Greenbrier | Statement: [Traveller, originalName, Greenbrier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenbrier
Context triple: [Traveller, originalName, Greenbrier]
  • A. The Greenbrier chosen
    The Greenbrier is a historic luxury resort in West Virginia renowned for its grand architecture, mineral springs, and Cold War-era underground bunker.
  • B. Greenbrier River
    The Greenbrier River is a scenic tributary of the New River in southeastern West Virginia, known for its largely free-flowing course, outdoor recreation opportunities, and the adjacent Greenbrier River Trail.
  • C. Greenbrier River Valley
    Greenbrier River Valley is a scenic region in southeastern West Virginia known for its rural landscapes, outdoor recreation, and the Greenbrier River that runs through its small towns and farmland.
  • D. Kanawha
    Kanawha is an unincorporated rural community located in Glenn County, California.
  • E. Kanawha
    Kanawha was a ship operated by Marcus Garvey’s Black Star Line, a short-lived but historically significant Black-owned shipping company of the early 20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674c6693081908ff8bec12f212f7b completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.