Triple

T19741547
Position Surface form Disambiguated ID Type / Status
Subject Kay County E474133 entity
Predicate hasCity P316 FINISHED
Object Kaw City 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: Kaw City | Statement: [Kay County, hasCity, Kaw City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaw City
Context triple: [Kay County, hasCity, Kaw City]
  • A. Kaw City chosen
    Kaw City is a small town in north-central Oklahoma, United States, located near Kaw Lake and known for being relocated in the 1970s due to the lake’s construction.
  • B. Dain City
    Dain City is a residential community in Ontario, Canada, situated within the city of Port Colborne near the Welland Canal.
  • C. Aron City
    Aron City is the fictional, retro-styled suburban town that serves as the primary backdrop for the animated television series "Johnny Bravo."
  • D. Mima City
    Mima City is a municipality in western Tokushima Prefecture, Japan, known for its historic townscapes, traditional indigo dyeing culture, and scenic rural landscapes.
  • E. Daye City
    Daye City is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal mining industry.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65162382081909bd5a251d7da7f75 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.