Triple

T12143865
Position Surface form Disambiguated ID Type / Status
Subject Dallas County, Iowa E289264 entity
Predicate largestCity P235 FINISHED
Object Waukee, Iowa E210722 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: Waukee, Iowa | Statement: [Dallas County, Iowa, largestCity, Waukee, Iowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waukee, Iowa
Context triple: [Dallas County, Iowa, largestCity, Waukee, Iowa]
  • A. Waukee, Iowa chosen
    Waukee, Iowa is a rapidly growing suburban city in the Des Moines metropolitan area known for its strong school system and family-friendly community.
  • B. Waukon, Iowa
    Waukon, Iowa is a small city that serves as the county seat of Allamakee County in the northeastern part of the state.
  • C. Ankeny, Iowa
    Ankeny, Iowa is a rapidly growing suburban city in the Des Moines metropolitan area known for its strong schools, parks, and family-friendly community.
  • D. Fairfield, Iowa
    Fairfield, Iowa is a small city in southeastern Iowa known for Maharishi International University, its vibrant arts scene, and a strong focus on sustainability and meditation-based community life.
  • E. Washington, Iowa
    Washington, Iowa is a small city in southeastern Iowa known for its historic downtown, agricultural surroundings, and role as a local commercial and cultural hub.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915aacaa08190b31f54e230334406 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69501348190a9ac090c7db37c20 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.