Triple

T4772582
Position Surface form Disambiguated ID Type / Status
Subject Western Colorado E105967 entity
Predicate hasMajorCity P316 FINISHED
Object Durango E306961 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: Durango | Statement: [Western Colorado, hasMajorCity, Durango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durango
Context triple: [Western Colorado, hasMajorCity, Durango]
  • A. Durango
    Durango is a state in north-central Mexico known for its rugged mountainous terrain, significant mining history, and role as a setting for classic Western films.
  • B. Durango chosen
    Durango is a historic mountain town in southwestern Colorado known for its scenic landscapes, outdoor recreation, and the Durango & Silverton Narrow Gauge Railroad.
  • C. Taos
    Taos is a historic town in northern New Mexico known for its rich Native American and Spanish heritage, thriving arts community, and proximity to scenic high-desert and mountain landscapes.
  • D. Pagosa Springs
    Pagosa Springs is a small Colorado town renowned for its natural hot springs and scenic setting in the San Juan Mountains.
  • E. Salida, Colorado
    Salida, Colorado is a small mountain city in central Colorado known for its historic downtown, outdoor recreation on the Arkansas River, and access to the surrounding Rocky Mountains.
  • 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_69be43be262c8190b9b9e2e6c2623ff7 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:21 p.m.