Triple

T1177778
Position Surface form Disambiguated ID Type / Status
Subject Mojave River E25067 entity
Predicate passesThrough P225 FINISHED
Object Victorville E62762 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: Victorville | Statement: [Mojave River, passesThrough, Victorville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victorville
Context triple: [Mojave River, passesThrough, Victorville]
  • A. Victorville, California chosen
    Victorville, California is a high-desert city in San Bernardino County known as a growing residential and logistics hub within Southern California’s Inland Empire region.
  • B. Cathedral City
    Cathedral City is a desert community in Southern California known as a residential and resort city within the Greater Palm Springs area.
  • C. Barstow
    Barstow is a small city in Southern California known as a major transportation hub and gateway between Los Angeles, Las Vegas, and the Mojave Desert.
  • D. Palm Desert
    Palm Desert is a resort city in Southern California known for its golf courses, upscale shopping, and desert landscapes.
  • E. Escondido
    Escondido is a city in northern San Diego County, California, known as one of the region’s older inland communities with a mix of suburban neighborhoods, agriculture, and historic downtown areas.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd10ccc481908d5bcef648aab3c1 completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad67f0651881909314e8761a7a7a5b completed March 8, 2026, 12:13 p.m.
Created at: March 1, 2026, 7:45 p.m.