Triple

T13626542
Position Surface form Disambiguated ID Type / Status
Subject Northern Iowa E325597 entity
Predicate hasCity P316 FINISHED
Object Mason City E639026 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: Mason City | Statement: [Northern Iowa, hasCity, Mason City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mason City
Context triple: [Northern Iowa, hasCity, Mason City]
  • A. Mason City chosen
    Mason City is a northern Iowa city known as the "River City," recognized for its musical heritage and notable Prairie School architecture, including works by Frank Lloyd Wright.
  • B. Webster City
    Webster City is a small community in central Iowa known as the county seat of Hamilton County and for its agricultural and manufacturing-based local economy.
  • C. Marshalltown
    Marshalltown is a city in central Iowa that serves as a regional hub for industry, commerce, and transportation.
  • D. Marshalltown
    Marshalltown is an inner-city commercial and business district located within Johannesburg’s central business area in South Africa.
  • E. Iowa Falls
    Iowa Falls is a small city in central Iowa known for its scenic location along the Iowa River and historic downtown.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9c72c88190be3d7a3f2e96afbc completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa6a46881909d381d76d391f5b7 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:51 p.m.