Triple

T4374721
Position Surface form Disambiguated ID Type / Status
Subject Victor Valley College E98976 entity
Predicate city P40 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: [Victor Valley College, city, Victorville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victorville
Context triple: [Victor Valley College, city, 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. Hemet
    Hemet is a city in Southern California known for its retirement communities, proximity to the San Jacinto Mountains, and the annual Ramona Pageant, one of the longest-running outdoor plays in the United States.
  • D. 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.
  • E. Palm Desert
    Palm Desert is a resort city in Southern California known for its golf courses, upscale shopping, and desert landscapes.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352222df48190bead639e99635faf completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5ddcbc08190baac9dbe041a66ad completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:18 p.m.