Triple

T22672574
Position Surface form Disambiguated ID Type / Status
Subject Atchison, Topeka and Santa Fe Railway E560257 entity
Predicate abbreviation P43 FINISHED
Object AT&SF 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: AT&SF | Statement: [Atchison, Topeka and Santa Fe Railway, abbreviation, AT&SF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AT&SF
Context triple: [Atchison, Topeka and Santa Fe Railway, abbreviation, AT&SF]
  • A. AT&SF chosen
    AT&SF is the common abbreviation for the Atchison, Topeka and Santa Fe Railway, one of the major historic railroad systems in the United States.
  • B. 聖フランシスコ
    聖フランシスコは、清貧と隣人愛を重んじた生涯で知られ、カトリック教会において最も敬愛される聖人の一人であるアッシジのフランシスコを指す。
  • C. San Francisco
    San Francisco is a major coastal city in Northern California known for its hilly landscape, iconic Golden Gate Bridge, and role as a historic center of technology and counterculture.
  • D. San Francisco
    San Francisco is a municipality in Colombia’s Putumayo Department, located in the southwestern part of the country near the Andean and Amazonian regions.
  • E. San Francisco
    San Francisco is a town located in the Atlántida Department on the northern Caribbean coast of Honduras.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17821daf88190b18a73a222fc22fb completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.