Triple

T12766050
Position Surface form Disambiguated ID Type / Status
Subject Dodge City (1939 film) E305126 entity
Predicate setting P1957 FINISHED
Object Dodge City, Kansas E26181 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: Dodge City, Kansas | Statement: [Dodge City (1939 film), setting, Dodge City, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dodge City, Kansas
Context triple: [Dodge City (1939 film), setting, Dodge City, Kansas]
  • A. Dodge City, Kansas chosen
    Dodge City, Kansas is a historic frontier town in southwestern Kansas known for its Old West heritage, cattle trade history, and role as a major stop along the Santa Fe Trail.
  • B. Wichita, Kansas
    Wichita, Kansas is the largest city in the state of Kansas, known as a major center for the U.S. aircraft industry and situated in south-central Kansas along the Arkansas River.
  • C. Wellington, Kansas
    Wellington, Kansas is a small city in south-central Kansas known historically as a regional agricultural and railroad hub.
  • D. Eudora, Kansas
    Eudora, Kansas is a small city in northeastern Kansas located between Lawrence and the Kansas City metropolitan area.
  • E. WaKeeney, Kansas
    WaKeeney, Kansas is a small city in northwestern Kansas known as a regional service center along Interstate 70 and for its historic downtown and annual Christmas light displays.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df1ef148190af525532fcb0933b completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8be7834819085bfce037c467004 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 5:28 p.m.