Triple

T12180010
Position Surface form Disambiguated ID Type / Status
Subject San Juan Skyway E290191 entity
Predicate includesTown P847 FINISHED
Object Silverton E305419 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: Silverton | Statement: [San Juan Skyway, includesTown, Silverton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silverton
Context triple: [San Juan Skyway, includesTown, Silverton]
  • A. Silverton
    Silverton is a small historic city in Marion County, Oregon, known for its charming downtown, proximity to Silver Falls State Park, and strong agricultural roots.
  • B. Silverton chosen
    Silverton is a historic former mining town and popular tourist destination in southwestern Colorado, known for its rugged alpine setting and preserved Old West character.
  • C. Pagosa Springs
    Pagosa Springs is a small Colorado town renowned for its natural hot springs and scenic setting in the San Juan Mountains.
  • D. Fruita
    Fruita is a small city in western Colorado known for its outdoor recreation, mountain biking trails, and proximity to the Colorado National Monument.
  • E. Alamosa, Colorado
    Alamosa, Colorado is a small city in the San Luis Valley known as a regional hub for southern Colorado and a gateway to Great Sand Dunes National Park.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915fc451c819086a2a97967b82908 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6345a76d88190bb5ebadfb6345af1 completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:50 p.m.