Triple

T8750753
Position Surface form Disambiguated ID Type / Status
Subject Central Iowa E207951 entity
Predicate hasCity P316 FINISHED
Object Waukee 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 | Statement: [Central Iowa, hasCity, Waukee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waukee
Context triple: [Central Iowa, hasCity, Waukee]
  • 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. Owasso
    Owasso is a rapidly growing suburban city in northeastern Oklahoma, located just north of Tulsa in the region known as Green Country.
  • C. Waukon, Iowa
    Waukon, Iowa is a small city that serves as the county seat of Allamakee County in the northeastern part of the state.
  • D. Forest City, Iowa
    Forest City, Iowa is a small northern Iowa community known as the longtime home of Winnebago Industries and a gateway to nearby lakes and outdoor recreation.
  • E. Wayzata
    Wayzata is a small, affluent lakeside city in Minnesota known for its location on the shores of Lake Minnetonka and its upscale residential and recreational character.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da774f4819099e5bfd12973d946 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf88e892688190ac1434598b3984b9 completed April 3, 2026, 9:31 a.m.
Created at: March 30, 2026, 6:39 p.m.