Triple

T17885571
Position Surface form Disambiguated ID Type / Status
Subject Wise Son E447190 entity
Predicate fictionalCity P3207 FINISHED
Object Dakota 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: Dakota | Statement: [Wise Son, fictionalCity, Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dakota
Context triple: [Wise Son, fictionalCity, Dakota]
  • A. Dakota chosen
    Dakota is the fictional, crime-ridden Midwestern city that serves as the primary setting for the superhero animated series "Static Shock."
  • B. Dakota
    "Dakota" is a hit 2005 rock single by Welsh band Stereophonics, known for its anthemic sound and widespread commercial success.
  • C. Dakota
    Dakota is a given name commonly used in English-speaking countries for both males and females, derived from the Native American Dakota people and language.
  • D. Dakota
    The Dakota are a Native American people of the Sioux Nation historically located in the northern Great Plains and woodlands of what is now the United States and Canada.
  • E. Dakota
    Dakota is the British Commonwealth name for the Douglas C-47 Skytrain, a military transport aircraft widely used by the Allies during World War II.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c123748819091bf46178105079b completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.