Triple

T17056653
Position Surface form Disambiguated ID Type / Status
Subject Johnston E413837 entity
Predicate locatedNear P294 FINISHED
Object Ankeny E400202 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: Ankeny | Statement: [Johnston, locatedNear, Ankeny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ankeny
Context triple: [Johnston, locatedNear, Ankeny]
  • A. Ankeny, Iowa chosen
    Ankeny, Iowa is a rapidly growing suburban city in the Des Moines metropolitan area known for its strong schools, parks, and family-friendly community.
  • B. Waukee, Iowa
    Waukee, Iowa is a rapidly growing suburban city in the Des Moines metropolitan area known for its strong school system and family-friendly community.
  • C. Cedar Falls
    Cedar Falls is a scenic waterfall and popular natural attraction located within Hocking Hills State Park in Hocking County, Ohio.
  • D. Algona, Iowa
    Algona, Iowa is a small city in north-central Iowa that serves as the county seat of Kossuth County and a regional hub for agriculture and local commerce.
  • E. Owasso
    Owasso is a rapidly growing suburban city in northeastern Oklahoma, located just north of Tulsa in the region known as Green Country.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7a96288190bd985f79c3f55623 completed April 18, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed7f6fc81908d27a6581fcfa265 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.