Triple

T8146342
Position Surface form Disambiguated ID Type / Status
Subject Utah Valley E190220 entity
Predicate contains P35 FINISHED
Object Santaquin E666046 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: Santaquin | Statement: [Utah Valley, contains, Santaquin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santaquin
Context triple: [Utah Valley, contains, Santaquin]
  • A. Santaquin, Utah chosen
    Santaquin, Utah is a small city in southern Utah County known for its agricultural roots, scenic mountain setting, and role as a growing residential community along the Wasatch Front.
  • B. Artesia
    Artesia is a small city in southeastern New Mexico known for its oil and gas industry and agricultural roots.
  • C. Artesia
    Artesia is a small suburban city in southeast Los Angeles County, California, known for its diverse community and the Little India commercial district along Pioneer Boulevard.
  • D. Blythe
    Blythe is a small desert city in Southern California near the Arizona border, known as a stopover along Interstate 10 by the Colorado River.
  • E. Elko
    Elko is a small city in northeastern Nevada known as a regional hub for ranching, mining, and outdoor recreation.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4447dbc48190affb0f34f6c85f5a completed March 31, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbedc48108190bcf98a82b9625250 completed April 1, 2026, 6:44 a.m.
Created at: March 30, 2026, 5:36 p.m.