Triple

T20097642
Position Surface form Disambiguated ID Type / Status
Subject Newhall station E496445 entity
Predicate city P40 FINISHED
Object Santa Clarita NE NERFINISHED

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: Santa Clarita | Statement: [Newhall station, city, Santa Clarita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Clarita
Context triple: [Newhall station, city, Santa Clarita]
  • A. Santa Clarita chosen
    Santa Clarita is a suburban city in Southern California known for its family-friendly communities, proximity to Los Angeles, and attractions like Six Flags Magic Mountain.
  • B. Camarillo
    Camarillo is a suburban city in Southern California known for its mild climate, outlet shopping, and proximity to the Pacific coast.
  • C. Yorba Linda
    Yorba Linda is a suburban city in northeastern Orange County, California, best known as the birthplace of U.S. President Richard Nixon and home to the Richard Nixon Presidential Library and Museum.
  • D. San Dimas
    San Dimas is a suburban city in Los Angeles County, California, known for its residential communities, historic downtown, and proximity to the San Gabriel Mountains.
  • E. Thousand Oaks
    Thousand Oaks is a suburban city in Southern California known for its affluent neighborhoods, extensive open space and parklands, and proximity to the Los Angeles metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666d83448190b3ade3f5b855e820 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:25 p.m.