Triple

T4772592
Position Surface form Disambiguated ID Type / Status
Subject Western Colorado E105967 entity
Predicate hasMajorCity P316 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: [Western Colorado, hasMajorCity, Silverton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silverton
Context triple: [Western Colorado, hasMajorCity, Silverton]
  • A. 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.
  • B. 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.
  • 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. 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.
  • E. Oraibi
    Oraibi is one of the oldest continuously inhabited Native American villages in the United States, located on Third Mesa within the Hopi Reservation in northeastern Arizona.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd655f98b0819088c05c5502ecf2cd completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c971a688190b0023727acdbd9f7 completed March 21, 2026, 8:53 a.m.
Created at: March 20, 2026, 1:21 p.m.