Triple

T4790414
Position Surface form Disambiguated ID Type / Status
Subject El Norte (Mexico) E106586 entity
Predicate hasMajorCity P316 FINISHED
Object Durango City E17928 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 City | Statement: [El Norte (Mexico), hasMajorCity, Durango City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durango City
Context triple: [El Norte (Mexico), hasMajorCity, Durango City]
  • A. Durango chosen
    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
    Durango is a historic mountain town in southwestern Colorado known for its scenic landscapes, outdoor recreation, and the Durango & Silverton Narrow Gauge Railroad.
  • 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. Colorado City
    Colorado City is the former name of what is now Yuma, Arizona, a city in the southwestern United States near the Colorado River and the Mexican border.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65dce6888190a0b1bdf416fb62b9 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81a9d8f08190ac79ca210356aab4 completed March 21, 2026, 11:31 a.m.
Created at: March 20, 2026, 1:22 p.m.