Triple

T8750804
Position Surface form Disambiguated ID Type / Status
Subject Central Iowa E207951 entity
Predicate hasCity P316 FINISHED
Object Jefferson, Iowa E530397 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: Jefferson, Iowa | Statement: [Central Iowa, hasCity, Jefferson, Iowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jefferson, Iowa
Context triple: [Central Iowa, hasCity, Jefferson, Iowa]
  • A. Jefferson, Iowa chosen
    Jefferson, Iowa is a small city in Greene County known as the birthplace of pioneering American pollster George Gallup.
  • B. Jesup, Iowa
    Jesup, Iowa is a small rural city in northeastern Iowa known for its close-knit community and location spanning Black Hawk and Buchanan counties.
  • C. 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.
  • D. Jacksonville, Iowa
    Jacksonville, Iowa is a small rural community located in Shelby County in western Iowa.
  • E. Janesville, Iowa
    Janesville, Iowa is a small Midwestern city located in northeastern Iowa along the Cedar River.
  • 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_69cfba0022748190a89322201abe2cf8 completed April 3, 2026, 1 p.m.
Created at: March 30, 2026, 6:39 p.m.