Triple

T22548114
Position Surface form Disambiguated ID Type / Status
Subject Copper Canyon Railway E557484 entity
Predicate passesThrough P225 FINISHED
Object Creel 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: Creel | Statement: [Copper Canyon Railway, passesThrough, Creel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Creel
Context triple: [Copper Canyon Railway, passesThrough, Creel]
  • A. Creel chosen
    Creel is a small mountain town in Mexico’s Sierra Tarahumara that serves as a popular gateway for tourists exploring the Copper Canyon region.
  • B. Creel
    Creel is a surname most notably associated with George Creel, the American journalist and head of the U.S. Committee on Public Information during World War I.
  • C. Chulman
    Chulman is an urban-type settlement in the Sakha Republic (Yakutia), Russia, known historically for its coal mining and location near the town of Neryungri.
  • D. River Deer
    The River Deer is a small river in Devon, England, that forms part of the local drainage system before joining the River Tamar.
  • E. Snow Creek
    Snow Creek is a small ski and snowboard resort known for its winter sports facilities and family-friendly atmosphere.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f372df48190ae5dd461b1230bc7 completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:52 p.m.