Triple

T12408557
Position Surface form Disambiguated ID Type / Status
Subject Waverly, Iowa E296451 entity
Predicate isPartOf P10 FINISHED
Object State of Iowa E15939 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: State of Iowa | Statement: [Waverly, Iowa, isPartOf, State of Iowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State of Iowa
Context triple: [Waverly, Iowa, isPartOf, State of Iowa]
  • A. Iowa chosen
    Iowa is a Midwestern U.S. state known for its extensive agriculture, especially corn and soybean production, and its role in national politics through the Iowa caucuses.
  • B. Iowa and Illinois
    Iowa and Illinois are neighboring Midwestern U.S. states whose shared eastern and western boundaries, respectively, are largely defined by the Mississippi River.
  • C. Buff State
    Buff State is a public university in Buffalo, New York, known for its diverse academic programs and strong emphasis on applied learning and community engagement.
  • D. Nebraska
    Nebraska is a landlocked U.S. state on the Great Plains known for its agriculture, prairies, and role as a historic crossroads for westward expansion.
  • E. Nebraska
    Nebraska is a 2013 black-and-white American road comedy-drama film directed by Alexander Payne that follows an aging man's quixotic journey to claim a supposed sweepstakes prize.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d4a08e0819085c656e35038e6b2 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6345e63dc81908f711dfb6d3b5a1f completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.