Triple

T13090476
Position Surface form Disambiguated ID Type / Status
Subject Frederick, South Dakota E310447 entity
Predicate hasName P744 FINISHED
Object Frederick E1017215 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: Frederick | Statement: [Frederick, South Dakota, hasName, Frederick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederick
Context triple: [Frederick, South Dakota, hasName, Frederick]
  • A. Frederick
    Frederick is a historic city in western Maryland known for its well-preserved downtown, Civil War heritage, and role as a regional cultural and economic center.
  • B. Frederick
    Frederick, better known as Lord North, was an 18th-century British prime minister most remembered for leading Britain during the American Revolutionary War.
  • C. Frederick
    Frederick is a masculine given name of Germanic origin that has been borne by numerous notable figures, including scientists, rulers, and artists.
  • D. Frederick
    Frederick, better known by his title Lord Birkenhead, was a prominent early 20th-century British Conservative politician, lawyer, and Lord Chancellor.
  • E. Frederick chosen
    Frederick is a small town located in Colorado’s Front Range region, known for its residential communities and proximity to the Denver metropolitan area.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98138a1d481908a139f2f67eb3472 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61629ac8190a2dfa11951a877f0 completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:03 p.m.