Triple

T959762
Position Surface form Disambiguated ID Type / Status
Subject Central California E20707 entity
Predicate contains P35 FINISHED
Object Merced E18241 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: Merced | Statement: [Central California, contains, Merced]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merced
Context triple: [Central California, contains, Merced]
  • A. Merced chosen
    Merced is a city in California’s San Joaquin Valley known as a gateway to Yosemite National Park and home to the University of California, Merced.
  • B. Modesto
    Modesto is a mid-sized city in California’s Central Valley known for its agricultural economy, historic connection to the railroads, and as the hometown setting inspiration for George Lucas’s film "American Graffiti."
  • C. Turlock
    Turlock is a city in California’s Central Valley known for its agricultural economy and proximity to California State University, Stanislaus.
  • D. Yuba City
    Yuba City is a small agricultural and commercial hub in Northern California’s Sacramento Valley, serving as the county seat of Sutter County.
  • E. Salinas
    Salinas is a prominent agricultural city in Northern California, often called the "Salad Bowl of the World" and known as the birthplace of author John Steinbeck.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b412f9f48190be123e8c20f38962 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69adfb7b11fc8190b90361eed3b90f94 completed March 8, 2026, 10:43 p.m.
Created at: March 1, 2026, 7:40 p.m.