Triple

T8938636
Position Surface form Disambiguated ID Type / Status
Subject Rick Kaepernick E212839 entity
Predicate livedIn P75 FINISHED
Object Turlock, California E181842 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: Turlock, California | Statement: [Rick Kaepernick, livedIn, Turlock, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turlock, California
Context triple: [Rick Kaepernick, livedIn, Turlock, California]
  • A. Turlock chosen
    Turlock is a city in California’s Central Valley known for its agricultural economy and proximity to California State University, Stanislaus.
  • B. Tulare, California
    Tulare, California is a small agricultural city in California’s San Joaquin Valley, known for its dairy industry and annual World Ag Expo.
  • C. Merced
    Merced was the original codename for Intel and Hewlett-Packard’s first-generation Itanium 64-bit server processor.
  • D. Merced
    Merced is a metro station on Mexico City’s Line 1 that serves the busy commercial area surrounding the historic La Merced market.
  • E. Merced
    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.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b57a348190979effe4f9998eb7 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1eb308c81909f5be133c75ad568 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:58 p.m.