Triple

T5063962
Position Surface form Disambiguated ID Type / Status
Subject William R. Shafter E114096 entity
Predicate familyName P18 FINISHED
Object Shafter E114096 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: Shafter | Statement: [William R. Shafter, familyName, Shafter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shafter
Context triple: [William R. Shafter, familyName, Shafter]
  • A. Shafter chosen
    Shafter is a surname most notably associated with William R. Shafter, a U.S. Army general who served in the American Civil War and the Spanish–American War.
  • B. Shafter
    Shafter is a small agricultural city in California’s San Joaquin Valley, located northwest of Bakersfield.
  • C. Tarzana
    Tarzana is a residential neighborhood in the San Fernando Valley region of Los Angeles, California, named after the fictional character Tarzan and known for its suburban character and proximity to the Santa Monica Mountains.
  • D. 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.
  • E. Artesia
    Artesia is a small city in southeastern New Mexico known for its oil and gas industry and agricultural roots.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd747756bc8190863c426e6fd6e8f7 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfb9bcf48190acac2714c25de725 completed March 21, 2026, 5:04 p.m.
Created at: March 20, 2026, 1:38 p.m.