Triple

T19991854
Position Surface form Disambiguated ID Type / Status
Subject Paul Greenough E494081 entity
Predicate workLocation P7 FINISHED
Object Iowa City NE NERFINISHED

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: Iowa City | Statement: [Paul Greenough, workLocation, Iowa City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iowa City
Context triple: [Paul Greenough, workLocation, Iowa City]
  • A. Iowa City, Iowa chosen
    Iowa City, Iowa is a mid-sized Midwestern city best known as the home of the University of Iowa and a UNESCO City of Literature.
  • B. Oskaloosa, Iowa
    Oskaloosa, Iowa is a small city in southeastern Iowa known for its historic downtown, rich coal-mining heritage, and role as a regional commercial and cultural center.
  • C. Cedar Rapids
    Cedar Rapids is a 2011 American comedy film starring Ed Helms as a naive insurance agent navigating unexpected misadventures at a regional conference in Iowa.
  • D. Iowa City metropolitan area
    The Iowa City metropolitan area is a regional urban and economic hub in eastern Iowa centered on the city of Iowa City and its surrounding communities.
  • E. Cedar Rapids, Iowa
    Cedar Rapids, Iowa is the second-largest city in the state, known as a major economic and cultural hub of eastern Iowa with a strong manufacturing base and vibrant arts scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe10ffc81908c94168b0a8ea9c9 completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:31 p.m.